Systems, Computer Implemented Methods, Geographic Weather-Data Selection Interface Display, and Computer Readable Medium Having Program Products to Generate User-Customized Virtual Weather Data and User-Customized Weather-Risk Products Responsive Thereto

ABSTRACT

Systems, computer implemented methods, and computer readable medium having program products are provided to customize by a user weather-risk products and to provide a customized weather-risk product to be purchased by user. Embodiments of a system include a tract-user computer having a display to display graphical user interfaces to a user and an input to receive user selections, the tract-user computer being connected to a communications network to receive graphical user interfaces and transmit user selections to a weather-risk product issuer computer. Embodiments of a system can also include a database to associate user selections with actuarial data, location data, and basis weather data and a weather-risk product issuer computer to transmit graphical user interfaces to the tract-user computer, receive user selections, and process user selections to generate virtual weather data and to generate weather-risk products.

RELATED APPLICATION

The present application is a continuation of and claims priority to andbenefit of U.S. patent application Ser. No. 14/055,329, titled “Systems,Computer Implemented Methods, Geographic Weather-Data SelectionInterface Display, and Computer Readable Medium Having Program Productsto Generate User-Customized Virtual Weather Data and User-CustomizedWeather-Risk Products Responsive Thereto, and filed Oct. 16, 2013, whichis a continuation of U.S. patent application Ser. No. 13/540,436, titled“Systems, Computer Implemented Methods, Geographic Weather-DataSelection Interface Display, and Computer Readable Medium Having ProgramProducts to Generate User-Customized Virtual Weather Data andUser-Customized Weather-Risk Products Responsive Thereto” and filed Jul.2, 2011, now U.S. Pat. No. 8,607,154, issued Dec. 10, 2013, which is anon-provisional application that relates to, claims priority to, andclaims the benefit of U.S. Provisional Application Ser. No. 61/505,457,titled “Systems, Computer Implemented Methods, and Computer ReadableProgram Products to Generate User-Customized Virtual Weather Data andUser-Customized Weather-Risk Products Responsive Thereto” and filed onJul. 7, 2011, each of which is incorporated herein by reference in itsentirety.

BACKGROUND OF THE INVENTION

1. Field of the Invention

Embodiments of the present invention relate generally to the field ofweather-risk management. More specifically, embodiments of the presentinvention allow a user to customize a virtual weather-data station sothat weather-risk products can be customized and generated responsivethereto.

2. Description of Related Art

Many businesses face economic risks associated with weather.Conventional weather-risk management tools are extremely technical(i.e., accessible only to experts), require long periods of time forstatistical analysis, or are characterized by substantial basis risk(i.e., the location of the weather monitoring location is distant fromthe location of the business at risk). Several attempts have been madeby others to offer an automated, real-time, weather-risk managementsystems for the sales of weather derivatives. For example, variousinternet sites have marketed weather-index-based derivatives, but noneof these have offered an intuitive user interface to customize theconfiguration of weather derivatives; a user-controlled, automatedmultiple-weather-station basis; a user-controlled, automatedmultiple-risk basis; and the ability to close the sale of a weather-riskderivative over the internet.

In further detail, conventional systems for weather-risk managementexhibit several disadvantages that limit the ability of a weather-riskproduct to accurately reflect the actual weather-related risk for aparticular land area relating to the coverage of the weather-riskproduct (“a covered area”). Such disadvantages relate, most generally,to the fact that weather-risk products are, conventionally, generatedbased on historical weather readings at a point (e.g., a weatherstation) that may not accurately reflect the weather risk for a coveredarea not congruent with that weather station. The difference between thehistorical weather readings at such a weather station and the actualweather (historical or future) for the covered area can be referred toas “basis error.” The potential for basis error is disadvantageous forboth the buyers and sellers of weather-risk products because the termsof an error-based weather-risk product may favor one party or the otherdepending on the nature of the basis error. A weather-risk productbuyer, for example, may suffer by paying a higher premium or by notreceiving payment (i.e., settlement) for coverable weather events due tobasis error. And on the other hand, a weather-risk product seller orprovider, for example, may suffer by receiving a lower premium from thebuyer or by over-paying for coverable weather events.

SUMMARY OF THE INVENTION

Embodiments of the invention provide access to a wide variety ofweather-risk management instruments and address the foregoing problemsin conventional weather-risk management. For example, applicants providesolutions that overcome problems in the art due to highly technicalinterfaces, requirements for intensive manual statistical analysis, orsubstantial risk of basis error (“basis risk”). Applicants recognize,for example, that existing weather-risk management tools, such asweather-rated, weather-adjusted derivative products, for minoragricultural crops (collectively), exhibited substantial basis risk andwere not easily accessible to many markets because of the complexity oftheir structures and the jargon employed therein so as to facilitatetrading in derivatives markets.

Applicants recognize the foregoing disadvantages, and applicants furtherrecognize that the foregoing disadvantages are most acute when a weatherstation relied upon in generating or settling a weather-risk product isnot selected or weighted uniquely for the covered area or for the typeof weather risk. Moreover, applicants recognize that one or more weatherstations relied upon in generating or settling a weather-risk productcan more effectively be uniquely selected or weighted for the coveredarea and for the type of weather risk by a user that is knowledgeable ofthe geographic and meteorological characteristics of the covered areaand various related weather stations. Applicants also recognize that oneor more weather stations relied upon in generating or settling aweather-risk product can more effectively be uniquely selected orweighted for the covered area and for the type of weather risk by a userthat is knowledgeable of the risk portfolio for the covered area, forexample, including weather risk associated with one or more uses of thecovered area.

Applicants provide embodiments of the present invention to allow a user,using a user interface display that is displayed, for example, on acomputer, to uniquely select or weight a plurality of weather stationsfor the covered area and for the type of weather risk, and the uniqueuser selections and weightings are used in generating and settlingcustomized weather risk products for the user. Embodiments of thepresent invention, for example, allow a user to customize a virtualweather-data station so that weather-risk products can be customized andgenerated responsive thereto.

Applicants further recognize that weather stations relied upon ingenerating and settling a weather-risk product can more effectively beuniquely selected or weighted for the covered area and for the type ofweather risk by a user when, immediately before generating theweather-risk product, the user is able to interactively: (i) graphicallyselect a plurality of weather stations that is unique for the coveredarea; (ii) simulate the historical performance of a proposedweather-risk product according to the unique selections and weightings,(iii) to confirm the suitability of the proposed weather-risk productwith respect to the historical weather events corresponding to aparticular risk type at the covered area, and (iv) if need be, revisethe unique selections or weightings based on the original simulation forthe purposes of generating a new simulation with respect to the revisedunique selections or weightings.

Although such embodiments advantageously allow a user to minimize basisrisk, embodiments of the present invention are not so limited for such apurpose, and embodiments of the invention can also be utilized by a userwho is not primarily intending to minimize basis risk, for example, auser intending to graphically select a plurality of user-selectedweather stations. Embodiments of the present invention advantageouslyallow a user to graphically select a plurality of user-selected weatherstations, which can be systematically weighted on an equal basis so asto simplify and minimize the degree of analysis and interaction with theuser interface display required of the user.

Applicants further provide an enhanced weather-risk management systemincorporating enhanced weather data management algorithms; a simple userinterface; enhanced algorithms to generate the weather-risk product;user-controlled, automated multiple-station indices; user-controlled,automated multiple-risk structure; or elements of an enhanced historicalweather record reporting. Embodiments of the invention provide, forexample, a weather-risk management derivative platform built upon anenhanced temperature and precipitation dataset and a user-friendly,web-based mechanism to customize and market weather derivatives over theInternet. The user-performed customization is supported by enhancedalgorithms and software that automate real-time-evaluation of theprobability and severity of user-selected weather-risks and by a highlycustomizable set of basis weather data.

Certain embodiments of the invention provide systematic and web-deployedsales and settlement of weather-risk products. In such embodiments,weather-risk products are generated systematically responsive to acustom risk assessment rating, which can be determined immediately uponreceiving a user's (i.e., a potential customer) selections with respectto a user-defined risk-management approach. Further yet, certainembodiments of the invention allow a user to make selections withrespect to a user-defined risk-management approach including selectionsfor temperature or precipitation risks and selections of a customgeographic coverage area. Even further yet, certain embodiments of theinvention allow users to explore the costs and historical performancefor a user-defined risk-management approach, redefine a new user-definedrisk management approach if the costs and historical performance areunsatisfactory, and explore the costs and historical performance of thenew user-defined risk-management approach, to be repeated as it suitsthe user. Enhanced systematic risk analysis according to embodiments ofthe invention advantageously encourages customers to explore thepotential costs and simulate historical performance of a variety of riskmanagement approaches. Beneficially, the weather-risk product providercan enhance the potential that a user will perceive one or more of theuser-defined approaches to be suitable and commit to purchase arisk-management product for such an approach.

Any of the foregoing user-related functions of the invention can beimplemented using one or more enhanced graphical user interfaces, e.g.,using a user computer display, to facilitate interaction between theuser and the systematic elements of the of the invention, e.g., on aserver computer processor. Elements of enhanced graphical userinterfaces according to embodiments of the present invention can beprovided so as to be familiar to virtually any potential user, forexample, by using a readily-recognizable geographic map image andreferences to simple weather-related concepts, such as temperature (orprecipitation) minima and maxima.

In certain embodiments, weather-risk products can be generatedresponsive to an enhanced weather dataset. The enhanced weather datasetcan be created, for example, using National Climate Data Center (NCDC)data having daily weather readings for each of a plurality of weatherstations, which can be cleaned, filled, and back-cast as needed usingvarious algorithms. There can be different types of weather stations,for example, including “informational” and “enhanced” weather stations.Informational stations are stations having data that can be utilized infilling missing and backcasting historical data for each of the enhancedweather stations. Enhanced stations are stations to be potentiallyutilized according to embodiments of the invention. Given that morestations report daily precipitation (PRCP) data than minimum temperature(TMIN), and maximum temperature (TMAX) data, embodiments of theinvention are able to systematically “fill” or “backcast” the weatherreadings of each enhanced weather station, independently, using datafrom all suitable informational stations reporting a type of weatherreading on a given day. Embodiments of the invention contemplate usingvarious algorithms to identify suitable informational and enhancedstations, some of which are described herein and are within the scope ofembodiments of the invention.

In embodiments of the invention allowing a user to select a customizedgeographic scale, the enhanced weather dataset includes customized or“virtual” weather data responsive to the user's selections. Virtualweather data can include, for example, weighted weather data from one ormore user-selected weather stations. The virtual weather data can besaid to be sourced from a virtual weather-data station, which representsan ideal, hypothetical weather station having virtual weather data thatmost accurately reflects the weather for the covered area. Accordingly,the enhanced weather dataset can provide, for example, substantiallymore data-sampling locations than have been available in conventionalweather-risk management solutions and thereby minimize the potential forbasis error and basis risk.

Basis error can be introduced, for example, by reliance on weatherreadings from a single weather station that is not within the coveredarea or when there is a significant variance between the weather at theweather station and the weather on the covered area. For example, a riskproduct may be based on weather readings from a weather station that isat a higher altitude than the covered area and experiences weather thatis inconsistent with that of the covered area. Basis error can beintroduced, for example, by reliance on weather readings from more thanone weather station not within the covered area or when there is asignificant variance among the weather at the different weather stationsor there is a significant variance between the weather at one or more ofthe weather stations and the weather at the covered area. For example, arisk product may be based on weather readings from weather stations,some of which are at the same altitude and others of which are at adifferent altitude than the covered area and any of which can experienceweather that is inconsistent from that of each other and of the coveredarea.

Basis error can also be introduced, for example, by reliance on anincomplete history of weather readings from one or more weatherstations. A history of weather readings can be incomplete, for example,if it is missing data within the reporting timeframe for the weatherstation (such as due to an outage or an infrequent reporting rate) or ifit is missing data outside of the reporting timeframe for the weatherstation (such as for a newly-installed weather station with respect toweather readings before the installation).

An exemplary embodiment of the invention includes a system to customizea weather-risk product for a tract by a user and to provide a customizedweather-risk product for a tract to be purchased by user.

An exemplary system can include, for example, a tract-user computerhaving a display device to display one or more graphical user interfacesto a user and one or more input devices to receive one or more userselections at the one or more graphical user interfaces. The tract-usercomputer can be connected to a communications network so that thetract-user computer can receive the one or more graphical userinterfaces and transmit the one or more user selections to a remotecomputer, such as a weather-risk product issuer computer.

An exemplary system can also include, for example, a database toassociate the one or more user selections with one or more ofweather-risk actuarial data, weather-station location data for each of aplurality of weather stations, and weather-station basis weather datafor each of the plurality of weather stations.

An exemplary system can also include, for example, a weather-riskproduct issuer computer connected to the database and to thecommunications network. The weather-risk product issuer computer can beowned, operated, or maintained, for example, by a risk-product issuingentity. The weather-risk product issuer computer can transmit the one ormore graphical user interfaces to the tract-user computer, receive theone or more user selections, and process the one or more user selectionsto generate a virtual weather data for a tract and to generate aweather-risk products for the tract.

In an exemplary system, the weather risk product issuer computer caninclude, for example, a processor, a non-transitory memory positioned incommunication with the processor to store computer program producttherein, and an input/output unit connected to the processor and thenon-transitory memory, the input/output unit adapted to be incommunication with one or more tract-user computers through thecommunications network to transmit one or more graphical user interfacesto the one or more tract-user computers and to receive one or more userselections responsive thereto.

In an exemplary system, the weather risk product issuer computer caninclude, for example, a computer program product, defining a virtualweather-data-station designer, stored in the non-transitory memory andoperable on the processor, the virtual weather-data-station designerhaving a set of instructions that, when executed by the processor, causethe processor to perform one or more operations as can be shown withreference to FIG. 10.

One operation that can be performed by the processor of the weather-riskproduct issuer computer in an exemplary system includes, for example,generating 300 a geographic weather-data selection interface to displayat the tract-user computer. The geographic weather-data selectioninterface can include a geographic map image corresponding to ageographic coordinate system, a plurality of weather-station markersbeing overlaid on the geographic map image, each of the plurality ofweather-station markers being positioned thereon responsive toweather-station location data corresponding to the geographic coordinatesystem. The geographic weather-data selection interface allows a user atthe tract-user computer to graphically select a plurality of geographicparameters for the tract by positioning a cursor on the geographic mapimage at one or more positions corresponding to a tract location in thegeographic coordinate system, each of plurality of geographic parameterscorresponding to the geographic coordinate system, and to transmit theplurality of geographic parameters to the weather-risk product issuercomputer.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, determining 305 a plurality of weather-station identifiersresponsive to receiving the plurality of geographic parameters from thetract-user computer, each of the plurality of weather-stationidentifiers corresponding to the weather-station location data for arespective weather station having a weather-station location near thetract location in the geographic coordinate system.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, generating 308 a source selection interface to display atthe tract-user computer responsive to the plurality of weather-stationidentifiers, the source selection interface allowing the user to selecta plurality of user-selected weather-station identifiers and a pluralityof user-selected weather-station weights, each of the plurality of theuser-selected weather-station identifiers corresponding to one of theplurality of user-selected weather-station weights, and to transmit tothe weather-risk product issuer computer the plurality of user-selectedweather-station identifiers and the plurality of user-selectedweather-station weights.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, storing 30A the plurality of user-selected weather-stationidentifiers and the plurality of user-selected weather-station weightsin the non-transitory memory, responsive to receiving each of theplurality of user-selected weather-station identifiers and the pluralityof user-selected weather-station weights from the tract-user computer,so that virtual weather data for the tract may be generated responsivethereto.

In an exemplary system, the weather risk product issuer computer caninclude, for example, a computer program product, defining a virtualweather-data generator, stored in the non-transitory memory and operableon the processor, the virtual weather data generator having a set ofinstructions that, when executed by the processor, cause the processorto perform one or more operations as can be shown with reference to FIG.10.

One operation that can be performed by the processor of the weather-riskproduct issuer computer in an exemplary system includes, for example,determining 314 a plurality of station-specific weather historiesresponsive to the plurality of user-selected weather-stations, each ofthe plurality of station-specific weather histories corresponding to arespective weather station for the each of the plurality ofuser-selected weather-station identifiers.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, generating 316 virtual weather data responsive to theplurality of station-specific weather histories and the plurality ofuser-selected weather-station weights, each of the plurality ofstation-specific weather histories being weighted by a one of theplurality of user-selected weather-station weights for the respectiveweather station, the virtual weather data being a user-weightedcomposite weather history for the tract.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, storing 31A the virtual weather data in the non-transitorymemory so that a customized weather-risk product for the tract can begenerated responsive thereto.

In an exemplary system, the weather risk product issuer computer caninclude, for example, a computer program product, definingweather-risk-product generator, stored in the non-transitory memory andoperable on the processor, the weather-risk-product generator having aset of instructions that, when executed by the processor, cause theprocessor to perform one or more operations as can be shown withreference to FIG. 10.

One operation that can be performed by the processor of the weather-riskproduct issuer computer in an exemplary system includes, for example,generating 318 a weather-risk selection interface to display at thetract-user computer, the weather-risk selection interface allowing theuser at the tract-user computer to select a plurality of user-selectedweather-risk parameters and to transmit the plurality of user-selectedweather-risk parameters to the weather-risk product issuer computer, theplurality of user-selected weather-risk parameters including each of aconcern type, a risk type for the concern type, a risk tolerance rangefor the concern type, and a risk endurance range for the concern type.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, determining 323 timeframe-specific virtual weather dataresponsive to the virtual weather data and to one or more of theplurality of user-selected weather-risk parameters received from thetract-user computer.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, determining 325 a plurality of customized contract termsresponsive to the timeframe-specific virtual weather data and to one ormore of the plurality of user-selected weather risk parameters, theplurality of customized contract terms including each of a contractprice, a contract premium, and a payout rate.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, generating 327 a weather-risk confirmation interfaceresponsive to the timeframe-specific virtual weather data, thecustomized contract terms, and the user-selected weather-riskparameters, the weather-risk confirmation interface to display at thetract-user computer, the weather-risk confirmation interface comprisinga first time-plot of the timeframe-specific virtual weather data, therisk tolerance range of the user-selected weather-risk parameters beingoverlaid on the first time-plot, and a second time-plot of the payoutscale applied to the timeframe-specific virtual weather data, theweather-risk confirmation interface thereby allowing the user to observehypothetical historical performance of the plurality of customizedcontract terms with respect to the timeframe-specific virtual weatherdata and the plurality of user-selected weather risk parameters, theweather-risk confirmation interface allowing the user to transmit eitherof a purchase request and a reset request to weather-risk product issuercomputer.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, regenerating 300, 308 one of the geographic weather-dataselection interface and the source selection interface responsive toreceiving a reset request so that the user can configure a new virtualweather-data-station and generate new virtual weather data responsivethereto.

Another operation that can be performed by the processor of theweather-risk product issuer computer in an exemplary system includes,for example, generating 332 a customized weather-risk product responsiveto receiving a purchase request, the customized weather-risk productcorresponding to the plurality of customized contract terms and theuser-selected weather risk parameters so that customized weather-riskproduct can be purchased by the user to allow settlement (i.e.,monetizing an outcome) according to customized contract terms for one ormore future weather events on the tract that satisfy the user-selectedweather risk parameters.

BRIEF DESCRIPTION OF THE DRAWINGS

So that the manner in which the features and benefits of embodiments ofthe invention, as well as others which will become apparent, may beunderstood in more detail, a more particular description of theembodiments of the invention may be had by reference to the embodimentsthereof which are illustrated in the appended drawings, which form apart of this specification. It is also to be noted, however, that thedrawings illustrate only various embodiments of the invention and are,therefore, not to be considered limiting of the invention's scope as itmay include other effective embodiments as well.

FIG. 1 is an exemplary graphical user interface display according to anembodiment of the invention.

FIG. 2 is a schematic diagram illustrating exemplary process flow, dataflow, and display of graphical user interfaces to a user according to anembodiment of the invention.

FIG. 3a is a schematic diagram and flow chart illustrating exemplaryprocess flow and data flow according to one or more embodiments of theinvention.

FIG. 3b is a schematic diagram illustrating exemplary data processingsteps according to one or more embodiments of the invention.

FIG. 3c is a schematic diagram and flow chart illustrating exemplaryprocess flow and data flow according to one or more embodiments of theinvention.

FIGS. 4a-4i are exemplary graphical user interface displays according toone or more embodiments of the invention.

FIGS. 5a-5d are exemplary graphical user interface displays according toone or more embodiments of the invention.

FIGS. 6a-6i are exemplary graphical user interface displays according toone or more embodiments of the invention.

FIGS. 7a-7c are exemplary graphical user interface displays according toone or more embodiments of the invention.

FIG. 8 is a schematic diagram illustrating an exemplary architecture ofa system according to one or more embodiments of the invention.

FIG. 9 is a schematic diagram illustrating an exemplary architecture ofa system according to one or more embodiments of the invention.

FIG. 10 is a schematic diagram illustrating exemplary instructions ofone or more computer program products stored in memory according to oneor more embodiments of the invention.

FIG. 11 is a schematic diagram illustrating an exemplary architecture ofa system according to one or more embodiments of the invention.

FIG. 12 is a database diagram illustrating exemplary data paths betweendatabases according to one or more embodiments of the invention.

FIG. 13a is a database diagram illustrating exemplary connectionsbetween databases according to one or more embodiments of the invention.

FIGS. 13b-13d are database diagrams and schematic data flow and dataprocessing diagrams illustrating exemplary connections betweendatabases, exemplary data flows and exemplary data processing stepsaccording to one or more embodiments of the invention.

FIG. 14 is a schematic diagram illustrating an exemplary architecture ofa system according to one or more embodiments of the invention.

FIGS. 15a-15f are exemplary graphical user interface displays accordingto one or more embodiments of the invention.

DETAILED DESCRIPTION

Embodiments of the present invention will now be described more fullyhereinafter with reference to the accompanying drawings, whichillustrate various embodiments of the invention. This invention,however, may be embodied in many different forms and should not beconstrued as limited to the embodiments set forth herein. Rather, theseembodiments are provided so that this disclosure will be thorough andcomplete, and will fully convey the scope of the invention to thoseskilled in the art. It is to be fully recognized that the differentteachings of the various embodiments discussed below may be employedseparately or in any suitable combination to produce desired results.The various characteristics mentioned above, as well as other featuresand characteristics described in more detail below, will be readilyapparent to those skilled in the art upon reading the following detaileddescription of the various embodiments, and by referring to theaccompanying drawings.

In the drawings and description that follow, like parts are markedthroughout the specification and drawings with the same referencenumerals, respectively. Prime notation, if used, indicates similarelements in alternative embodiments. The drawings are not necessarily toscale. Certain features of the disclosure may be shown exaggerated inscale or in somewhat schematic form and some details of conventionalelements may not be shown in the interest of clarity and conciseness.

As is perhaps best illustrated by FIGS. 8-10, various exemplaryembodiments of the present invention beneficially can includeweather-risk-product customization system 800. The weather-risk-productcustomization system 800 allows potential purchasers of weather-riskproducts, which are also referred to as “customers” or “users” herein,to select and customize the basis for one or more weather-risk products,to select and customize the weather-risk products themselves, and tointeractively generate and purchase a weather-risk product reflectingthe user's selections and customizations. A weather-risk product can beused, for example, by organizations or individuals to manage or reducerisk associated with adverse or unexpected weather conditions, such as aweather derivative, an insurance contract, or other type of financial orcontractual instrument.

In particular, the weather-risk-product customization system 800 allowsa user to customize a so-called “virtual weather-data station” for atract so that virtual weather data can be generated for the virtualweather-data station for the tract and a customized weather-risk productcan be customized and generated responsive to the virtual weather datafor the virtual weather-data station for the tract. The customizedweather-risk product can be selected, customized, generated, andpurchased, for example, by one or more users, also called “tract-users,”according to various embodiments of the present invention, such as theexemplary embodiments illustrated in FIGS. 1 and 4-7. Exemplaryembodiments of the present invention also advantageously provide, forexample, computer readable program products, and computer-implementedmethods to customize a virtual weather-data station for a tract so thatvirtual weather data can be generated for the virtual weather-datastation and a weather-risk product can be customized and generatedresponsive to the virtual weather data.

As can be shown with reference to FIG. 9, a weather-risk productcustomization system, such as weather-risk product customization system900, can include, for example, a communications network 801, one or moretract-user computers 200, 200′, 200″, risk-product issuer computer 910,and a database 270. Also, as can be shown with reference to FIG. 8, theweather-risk-product customization system 800 can include, for example,a virtual weather-data-station designer computer 830, a virtualweather-data generator computer 840, and a weather risk-productgenerator computer 850, which can also be in communication with one ormore tract-user computers 200, 200′, 200″ and a database 270 via acommunications network 801. The risk product customization system 900also includes, for example, one or more source weather databases 890which can be connected to the risk-product issuer computer 910 ordatabase 270, for example, over the communications network 801. Thecommunications network 801 can include any one or more telephonynetwork, a wire-line network, a wireless network, a wide area network, alocal area network, an infrared network, a radio-frequency network, anoptical network, or any other communications network now or hereinaftercreated as is known and understood by those skilled in the art. Incertain embodiments, for example, there may be a direct connectionbetween risk-product issuer computer 910 and any of the one or moresource weather databases 890, for example, using a dedicatedtelecommunications line. Each of the one or more tract-user computers200, 200′, 200″ provides the physical interface that allows acorresponding tract-user to interact with the risk-product customizationsystem.

The tract-user can be any human being having an interest—or acting as anagent or on behalf of another human being or on behalf of anorganization having an interest—in one or more assets, properties,operations, activities, or other interests occurring at, on, near, or asrelates to a tract. As used herein, a tract is an area of earth surface,and can include without limitation any land, water, or land and water onthe earth surface. “Use” of a tract includes not only the use of theland or water on the earth surface, but also the of the minerals orreservoirs below the earth surface, resources growing on, in, or fromthe earth surface and the airspace above the earth surface. Although theinvention is not so limited, certain embodiments of the invention aredescribed with respect to a tract-user that is an owner or operator of afarm or a ranch. The embodiments described herein are equallyapplicable, as will be appreciated by those having skill in the art, toother assets, properties, operations, activities, or other intereststhat relate to a tract, such as a transit service related to a route ora hydro-electric power generation service related to a watershed, forexample.

A virtual weather-data station is a hypothetical or simulated weatherstation that can be assumed to relate to past, present, or futureweather on a particular tract or in the vicinity of particular tract. Avirtual weather-data station is not an actual weather station, but avirtual weather-data station may be responsive to a plurality of actualweather stations. Because the virtual weather-data station is not anactual weather station, the properties of the virtual weather-datastation depend on the customization or configuration of the virtualweather-data station. A virtual weather-data station includes virtualweather data, which is a weighted aggregation of weather data for two ormore actual weather stations. Because virtual weather data is never aprecise representation of the actual weather for the tract,customization and configuration of the virtual weather-data station forthe tract is critical to ensure the most realistic modeling of theactual weather by the virtual weather data, for example, by minimizingthe variance between the virtual weather data and the actual weather forthe tract.

Weather data can include, without limitation, actual weather readings aswell as back-casted weather readings. Actual weather readings include,for example, readings at an actual weather station for weatherparameters such as precipitation, temperature, wind, barometricpressure, and so on. Back-casted weather readings are systematicallygenerated, hypothetical weather readings for a primary actual weatherstation that are generated based on actual weather readings at one ormore secondary actual weather stations near the primary actual weatherstation. Back-casted weather readings can be used, for example, when thequality, quantity, or quality and quantity of actual weather readingsfor the primary actual weather station is inferior to the quality orquantity of actual weather readings for one or more secondary weatherstations near the primary actual weather station.

As used herein, the term “near,” as in whether a location of a weatherstation is “near” the location of a tract or another weather station,shall not be limited by any fixed or bounded measure of distance.Rather, one location is near another location when the weather at eitherlocation is significantly related to the weather at the other location.Weather at one location is significantly related to the weather atanother location when the weather at either location can be estimated,approximated, simulated, forecast, or otherwise represented responsiveto the weather at the other location, whether in whole or in part.

Embodiments of the invention related to a geographic coordinate system,which will be appreciated by those having skill in the art to includeany coordinate system that allows one or more locations within the tracton the earth surface to be specified by one or more numbers. One or morelocations within the tract may be collectively referred to herein as thelocation of the tract and can include, for example, locations of thevertices, center point, or other significant points within the tract.The geographic coordinate system can include a set of coordinates chosensuch that one or more of the numbers represents one of a latitude, alongitude and an elevation. The geographic coordinate system may alsoallow for the definition of one or more scalar or vector values withrespect to one or more other coordinates. For example, one set ofgeographic coordinates may specify the latitude, longitude, andelevation of a single point on the earth surface and a scalar or vectorvalue may be a distance of a second point from that single point. Thedistance can be, for example, expressed in terms of degrees, minutes,and seconds of latitude and longitude or in terms of scalar or vectordistance metrics such as miles, kilometers, or nautical miles, forexample. For example, coordinates can define the absolute location,e.g., a latitude, a longitude, and an elevation, of a first point beinga northwest vertex of a rectangle and a relative location, e.g., adistance and a direction, of a second point being a southeast vertex ofthat rectangle; together, the first point and the second point definethe area of a rectangular tract. Also, for example, coordinates candefine the absolute location, e.g., a latitude, a longitude, and anelevation, of a first point being a center point of a circle and arelative location, e.g., a radial distance, of a second point being a onthe circumference of that circle; together, the first point and thesecond point define the area of a circular tract. Othercoordinate-based, scalar-based, or vector-based means of representingpoints or areas, including irregular polygonal areas, on the earthsurface will be apparent to those having skill in the art and are withinthe scope of this disclosure.

A tract-specific weather-risk-product is an intangible having commercialvalue that allows party to receive compensation, monetarily orotherwise, contingent upon the occurrence of future weather events asdefined by future weather data, including actual or virtual weatherdata, relating to a tract and that is valued, in part, responsive topast weather data, including actual or virtual weather data, relating tothe tract. By way of example, if a tract relates to a farm, aweather-risk-product can allow the farm to protect the value of itsfarming operation against crop loss due to excessively coldtemperatures. By way of further example, if a tract relates to a transitroute, weather-risk-products can allow a shipping company to protect thevalue of its shipping operation against reduced shipping volume due toicing (i.e., excessively cold temperatures and excessive precipitation).By way of further example, if a tract relates to a watershed,weather-risk-products can allow a hydro-electric power generator toprotect the value of its generating operation against reduced poweroutput due to insufficient precipitation. Other examples will beapparent from the description herein, and are within the scope of thisdisclosure.

As can be shown with reference to FIG. 2, embodiments of the inventionare accessed by a user 285 at a computer 200. The user 285 is a user ofthe computer 200 and can also be, for example, a user of the tract, anagent of the user of the tract, a principal of the user of the tract, anemployee of the user of the tract, an employer of the user of the tract,or any other person having an interest in or relating to the tract. Asreferenced herein, a user or a “tract-user” means to any type of userdescribed herein, such as user 285, and a computer or a “tract-usercomputer” means any type of computer, such as computer 200, describedherein.

The user 285 interacts with the computer 200 through various inputperipherals and display peripherals, which can be included in thecomputer 200. The user interacts with display peripherals, for example,to observe user interfaces being displayed thereon and to observe inputbeing entered by the user through an input peripheral. The userinteracts with input peripherals, for example, to respond to userinterfaces being displayed on the display peripheral, such as to make aninput or a selection with respect to the user interface being displayedon the display peripheral.

The user computer 200 can be, for example, any type of stationary orportable personal computing device such as a desktop computer, laptopcomputer, micro computer, mini computer, notebook computer, ultra-mobilecomputer, tablet computer, handheld computer, mobile telephone, personaldigital assistant (PDA), so-called “Smartphone,” or any other computingdevice intended to be operated directly by an end user with nointervening computer operator as is known and understood by thoseskilled in the art. The user computer 200 can include, for example, akeyboard, a mouse, a graphical user interface device, a display, amicrophone, electronic speakers, a modem, a LAN card, a computergraphics card, a printer, a scanner, a disk drive, a tape drive, acamera, a Wi-Fi card, a PCMCIA card, or any other peripheral device asis known and understood by those skilled in the art. If the usercomputer 200 is a mobile device, as is known and understood by thoseskilled in the art, the mobile device can include, but is not limitedto, a cell phone device, a handheld device, a handheld computer, apalmtop, a handheld device, or any other mobile computing device. Such amobile device can also include, for example, a display screen with atouch input user interface or a miniature keyboard, or a touch-screeninterface. A PDA can include, for example, a processor, memory, an inputdevice, and an output device. Additionally, a PDA, for instance, caninclude a palmtop computer, a Smartphone, a palm device, a portablemedia player, a Wi-Fi enabled device, a global positioning systemdevice, or any other handheld computing device now or hereinafterdeveloped as is known and understood by those skilled in the art.Embodiments having one or more user computers 200 as a laptop computerinclude, for example, the Apple MacBook, MacBook Air, and MacBook Proproduct families; the Dell Inspiron and Latitude product families, theLenovo ThinkPad and IdeaPad product families, the Panasonic Toughbookproduct families, and the Toshiba Satellite product families. Examplesof embodiments having one or more user computer 200 as a Smartphoneinclude, for example, the iPhone 3GS and the iPhone 4 by Apple Computer,Inc. of Cupertino, Calif. and the Droid by Motorola, Inc. of Schaumburg,Ill.

As can be shown with reference to FIG. 8, computer 200 can include,according to various exemplary embodiments of the present invention, atleast a memory 201, a processor 202, and an input/output device 203. Asused herein, the processor 202 can include, for example, one or moremicro processors, microcontrollers, and other analog or digital circuitcomponents configured to perform the functions described herein. Theprocessor 202 is the “brains” of the computer 200, and as such, canexecute computer program product or products.

The processor 202 can be any commercially available terminal processor,or plurality of terminal processors, adapted for use in or with thecomputer 200. The processor 202 can be, for example, the Intel® Xeon®multicore terminal processors, Intel® micro-architecture Nehalem, andAMD Opteron™ multicore terminal processors, Intel® Core® multicoreprocessors, Intel® Core 2 Duo® multicore processors, and otherprocessors with single or multiple cores as is known and understood bythose skilled in the art. The processor 202 can be operated by operatingsystem software installed on memory 201, such as Windows Vista, Windows7, Windows XP, UNIX or UNIX-like family of systems, including BSD andGNU/Linux, and Mac OS X. The processor 202 can also be, for example theTI OMAP 3430, Arm Cortex A8, Samsung S5PC100, or Apple A4. The operatingsystem for the processor 202 can further be, for example, the SymbianOS, Apple iOS, Blackberry OS, Android, Microsoft Windows CE, MicrosoftPhone 7, or PalmOS.

The computer 200 can further include a non-transitory memory or morethan one non-transitory memories (referred to as memory 201 herein).Memory 201 can be configured, for example, to store data, includingcomputer program product or products, which include instructions forexecution on the processor 202. Memory 201, can include, for example,both non-volatile memory, e.g., hard disks, flash memory, optical disks,and the like, and volatile memory, e.g., SRAM, DRAM, and SDRAM asrequired to support embodiments of the instant invention. As one skilledin the art will appreciate, though the memory 201 is depicted on, e.g.,a motherboard, of the computer 200, the memory 201 can also be aseparate component or device, e.g., flash memory, connected to thecomputer 200 through an input/output unit 203 or a transceiver (notshown). As one skilled in the art will understand, the program productor products, along with one or more databases, data libraries, datatables, data fields, or other data records can be stored either inmemory 201 or in separate memory (also non-transitory), for example,associated with a storage medium such as a database 270 locallyaccessible to the computer 200, positioned in communication with thecomputer 200 through the I/O 203.

The memory 201 of the tract-user computer 200, for example, can furtherinclude applications, drivers, modules, libraries, or engines that allowthe tract-user computer 200 to have interactive client-side interfacecapabilities, including, for example a web browser application, such asMicrosoft® Internet Explorer® by Microsoft Corporation of Redmond,Wash., having capabilities for processing interactive content, such asJava, JavaScript, or Flash plug-ins or scripts.

According to various exemplary embodiments of the present invention, thecommunications network 801 can connect the computer 200 the database 270and to other computers, devices, modules, or other components of system800. As one skilled in the art will appreciate, the communicationsnetwork 801 can connect all of the system components using a local areanetwork (“LAN”) or wide area network (“WAN”), or a combination thereof.For example, components of system 800 can be privately networked, orprivately tunneled over a public network, to allow for faster, moresecure communication and better data synchronization between computingnodes. Also, for example, some of the system components can be networkedusing a LAN and adapted to be in communication with the computer 200using a WAN. Accordingly, though not all such configurations aredepicted, all are within the scope of various exemplary embodiments ofthe present invention.

Communications network 801 can include, for example, any public orprivate network communication paths to support the communications sentand received between system components 800, including the publicInternet, a private intranet, a virtual private network (VPN) tunneledacross the public Intranet, for example, using a network securityprotocol, such as Netscape's Secure Socket Layer (SSL) protocol. Thecommunications network 801 can be, for example, a telecommunicationnetwork including a wire-based telephone network, pager network,cellular network, or a combination thereof, and a computer network.Accordingly, the communications network 801 can be implemented, in wholeor in part, over wireless communications network. In addition, accordingto various exemplary embodiments of the present invention, the wirelesscommunications network can be implemented over any of various wirelesscommunication technologies, for example: code division multiplexedaccess (“CDMA”), time division multiplexed access (“TDMA”), frequencydivision multiplexed access (“FDMA”), orthogonal frequency divisionmultiplexed access (“OFDMA”), global system for mobile communications(“GSM”), Analog Advanced Mobile Phone System (“AMPS”), Universal MobileTelecommunications System (“UMTS”), 802.11a/b/g/n (“WiFi”), WorldInteroperability for Microwave Access (“WiMAX”), or Bluetooth.

As one skilled in the art will appreciate, and is perhaps bestillustrated by FIG. 11, memory 201 and the processor 202, can alsoinclude, for example, components (e.g., drivers, libraries, andsupporting hardware connections) that allow the tract-user computer 200to be connected to a display peripheral device 1121 and an inputperipheral device 1122 that allow a user direct access to the processor202 and the memory 201.

The display peripheral device 1121 can be, for example, a computermonitor, which may also be known in the art as a display or a visualdisplay unit. The display peripheral device also can include, forexample, a display device, which in modern monitors is typically a thinfilm transistor liquid crystal display (TFT-LCD) thin panel, while oldermonitors use a cathode ray tube. The display peripheral device 1121 caninclude the display device, the circuitry, and the physical enclosure.The display peripheral device 1121 can be used, in connection withinteractive client-side interface capabilities residing in memory 201,to display interactive interfaces to a user at the provider computer,such as the geographic weather-data selection interface (301 in FIG. 2),source selection interface (309 in FIG. 2), weather-risk selectioninterface (319 in FIG. 2), and weather-risk confirmation interface (328in FIG. 2). As discussed in greater detail above, the display peripheraldevice can also be a PDA and can function, at the same time, as adisplay peripheral device, an input peripheral device, and an outputperipheral device.

The input peripheral device 1122 can be, for example, a computerkeyboard, computer mouse, a touch screen (such as a touch screen devicecomprising a display peripheral device), a pen device, characterrecognition device, voice recognition device, or a similar input devicethat will be known to those having skill in the art that allows the userat the tract-user computer 200, through mechanical, electrical, ormechanical and electrical means to send discrete or continuous signalsto the processor 202. A status or other output associated with inputperipheral device 1122 can be displayed at the display peripheral device1121, such as, for example, mouse pointer or a keyboard prompt. Theoutput of input peripheral device 1122 can be received by the processor202, for example, as a selection or a command associated with aninteractive client-side interface, such as the geographic weather-dataselection interface (301 in FIG. 2), source selection interface (309 inFIG. 2), weather-risk selection interface (319 in FIG. 2), andweather-risk confirmation interface (328 in FIG. 2). An interactiveclient-side interface may be configured, for example, to receive aselection or a command from the input peripheral and, responsivethereto, transmit data, including content input by the user at the inputperipheral device 1122, as well as other content as directed by theclient-side interface, to other servers or systems through theinput/output unit 203.

Returning to FIG. 2, embodiments of the present invention can provide,for example, a geographic weather-data selection interface 301, a sourceselection interface 309, a weather-risk selection interface 319, and aweather-risk confirmation interface 328, all of which are a userinterfaces displayed on a display 284 at the computer 200. Userinterfaces can be, for example, web pages displayable through a webbrowser or any other interface of graphical user interfaces (GUIs)provided by an application, applet, or other computer program. Each ofthe foregoing interfaces can include, for example, one or moresub-interfaces, which are also user interfaces, that can be accessed orcalled up from the main interface, such as, for example, a pop-upwindow, a browser tab, or a browser window.

Each of the foregoing user interfaces can be generated, in whole or inpart, by computer 200 or by any other computer accessible to computer200 over a network that can transmit the user interface to computer 200.Generating the user interface includes executing instructions stored ona computer-readable medium to define the user interface on a computerreadable medium, for example, so that the user interface can bedisplayed by a computer executing instructions to render the userinterface as a user interface display on a display peripheral.Generating the user interface can include, for example, server-sideprocessing to dynamically generate the user-interface responsive tovariable inputs, client-side processing to dynamically generate orre-generate the user-interface responsive to variable inputs, andserver-side or client-side processing to serve or interpret static ordynamic data corresponding to the user interface.

Those having skill in the art will appreciate that any of the interfacesdescribed herein may be interactive interfaces. Interactive interfacescan be in whole or in part dynamically generated using server-sideprocessing (such as PHP, ASP, ASP.NET) and delivered to the computer 200in static mark-up language, such as HTML, for display using a webbrowser and a display peripheral device, as is perhaps best illustratedas 284 in FIG. 2. Those having skill in the art will further appreciatethat interactive interfaces, such as the geographic weather-dataselection interface (301 in FIG. 2), source selection interface (309 inFIG. 2), weather-risk selection interface (319 in FIG. 2), andweather-risk confirmation interface (328 in FIG. 2) may be in whole orin part statically generated at a server, such as thevirtual-weather-risk-product customization computer 910 or one of theone or more web servers 1420, 1430, 1440 adapted to be in communicationwith the virtual-weather-risk-product customization computer 910 anddelivered to the tract-user computer 200 for processing by thetract-user computer 200 using client-side processing (such as Java,JavaScript, or Flash) for display at the tract-user computer 200 usingthe web browser and the display peripheral device 284.

According to various exemplary embodiments of the present invention,database 270 can be any database structure as is known and understood bythose skilled in the art. The databases discussed herein, includingdatabase 270, can be, for example, any sort of organized collection ofdata in digital form. Databases, including database 270, can include thedatabase structure as well as the computer programs that providesdatabase services to other computer programs or computers, as defined bythe client-server model, and any computer dedicated to running suchcomputer programs (i.e., a database server). An exemplary databasemodel, for example, is Microsoft SQL Server 2005 or Microsoft SQL Server2008 R2. Databases can include a database management system (“DBMS”)consisting of software that operates the database, provides storage,access, security, backup and other facilities. DBMS can support multiplequery languages, including, for example, SQL, XQuery, OQL, LINQ, JDOQL,and JPAQL. Databases can implement any known database model or databasemodels, including, for example, a relational model, a hierarchicalmodel, a network model, or an object-oriented model. The DBMS caninclude Data Definition Language (“DDL”) for defining the structure ofthe database, Data Control Language (“DCL”) for defining security/accesscontrols, and Data Manipulation Language (“DML”) for querying andupdating data. The DBMS can further include interface drivers, which arecode libraries that provide methods to prepare statements, executestatements, fetch results, etc. Examples of interface drivers includeODBC, JDBC, MySQL/PHP, FireBird/Python. DBMS can further include a SQLengine to interpret and execute the DDL, DCL, and DML statements, whichincludes a compiler, optimizer, and executor. DBMS can further includeengine a transaction engine to ensure that multiple SQL statementseither succeed or fail as a group, according to application dictates.DBMS can further include a relational engine to implement relationalobjects such as Table, Index, and Referential integrity constraints.DBMS can further include a storage engine to store and retrieve datafrom secondary storage, as well as managing transaction commit androllback, backup and recovery, etc.

Data stored in the databases can be updated as needed, for example, by auser with administrative access to the database to add new data totables or libraries in the database as they become supported. It will beappreciated by those having skill in the art that data described hereinas being stored in the databases can also be stored or maintained innon-transitory memory and accessed among two or more subroutines,functions, modules, objects, program products, or processes for example,according to objects or variables of such subroutines, functions,modules, objects, program products or processes. Any of the fields ofthe records, tables, libraries, and so on of the database can bemulti-dimensional structures resembling an array or matrix and caninclude values or references to other fields, records, tables, orlibraries. Any of the foregoing fields can contain either actual valuesor a link, a join, a reference, or a pointer to other local or remotesources for such values.

Database 270 can be, for example, a single database, multiple databases,or a virtual database, including data from multiple sources, forexample, servers on the World Wide Web. According to various exemplaryembodiments of the present invention, for example, and as illustrated byFIG. 12, database 270 can include one or more databases, including aweather-data basis weather database 1230, a weather-risk product sessiondatabase 1260, a weather-risk product administrative database 1240, anda weather-risk product settlement database 1250, each of which can alsobe, for example, a single database, multiple databases, or a virtualdatabase, including data from multiple sources. In addition, thedatabase 270 can include other databases, or one or more tables withindatabase 270 to store weather-risk actuarial data 276 to allowdetermining contract parameters for weather-risk products with respectto weather-risk parameters. In addition, the database 270 can includeother databases, or one or more tables within database 270 to store mapdata 271, including, for example, one or more map images, map featuredata, and data relating one or more map images and map feature data to ageographic coordinate system.

The weather-data basis weather database 1230 can be configured, forexample, to store any data related to weather stations that can be usedas a basis for generating weather-risk products, including weatherstation identifiers; weather station names, weather station locations(e.g., geographic coordinates), and weather-station basis weather data.Weather-station basis weather data, such as basis weather data 272 ascan be shown with reference to FIGS. 2, 13 b-c, can include, for examplea plurality of daily weather records (“histories”).

Basis weather data 272 can include any historical weather data availableor known to those having skill in the art. Basis weather data 272 can besourced, for example, from governmental agencies that record weatherdata in real time or store weather data in data centers electronicallyaccessible to the public or to private partners. One such governmentagency is the National Climactic Data Center (“NCDC”), which isresponsible for the compilation and management of weather data from over75 U.S. departments and agencies. The NCDC maintains several weatherdatabases, one of which is the Quality Controlled Local Climate Data(“QCLCD”), a daily summary of weather data at automated stations,primarily associated with air traffic. NCDC's quality control processesare primarily automated. Another NCDC database is the Global HistoricalClimatology Network (“GHCN”) database, which contains historicaltemperature, precipitation, and pressure data for thousands of landstations worldwide and is more comprehensive than the QCLCD. UnitedStates federal weather data includes weather readings collected atapproximately 25,000 weather stations, of which approximately 8,000 canbe considered “active”, and Canadian weather data includes weatherreadings collected at approximately 5,000 active weather stations. Inaddition, there are approximately 4,000 NCDC weather stations with bothtemperature and precipitation recording and approximately 1,600 airportweather stations, although some of these lack long-term historicalrecords. In addition, weather data is currently available from privatesources, which reflects approximately 1,000 to 5,000 weather stationsand may or may not be built upon NCDC data. All or most of the publiclyor privately available raw weather datasets include errors such as holes(i.e., missing data) or spurious data. Some of the private sources ofweather data include “filled” data, although some of the mechanismsemployed to fill the holes disadvantageously dampen the variability inthe data.

In further detail, basis weather data 272 can include, for eachreporting weather station identified by a weather-station identifier“WSID”, a precipitation value (“PRCP”), a temperature minimum value(“TMIN”), and a temperature maximum value (“TMAX”) for each measurementperiod “DAY”). As is further shown with reference to FIGS. 13b and 13c ,basis weather data 272 can include weather data from actual weatherreadings, which can be referred to as “source data,” 1390 as well asweather data generated responsive to source data, which can be referredto as “derived data” 1391. Basis weather data 272 including derived data1391 can be referred to as “enhanced basis weather data,” which isincluded in the definition of basis weather data 272.

As can be shown by reference to FIGS. 13b and 13c , derived data 1391can be generated responsive to data processing operations 1321, forexample, to clean, fill, or backcast source data 1390 downloaded 1311from one or more source weather-data database, e.g., databases1301-1305. Source weather-data databases can include, for example: (i)NCDC GHCN database 1301, which includes historical weather data from1950 to present; (ii) NCDC 3200 database 1302, which includes historicalweather data from 1950 to 2011 (no longer updated by Government afterApril 2011); (iii) NCDC 3210 database 1303, which includes historicalweather data from 1950 to present; (iv) NCDC QCLCD database 1304, whichincludes historical weather data from 1950 to present for many potentialagricultural stations; and (v) WeatherBug database 1305, which includesrecent potential additional agricultural stations.

The following description of process steps 1311, 1312, 1313, 1321, 1322,1323, 1324, and 1325 can be performed, for example, by database servers1210, 1220, or 1250, any of which can have a structure as illustratedwith reference to weather station data updater 810 of FIGS. 8-9, forexample, having a processor 812, an input/output unit connected to theprocessor 812 and the communications network 801 (and thereby incommunication with database 270), memory 811 with computer programproduct having instructions for executing steps 1311, 1312, 1313, 1321,1322, 1323, 1324, or 1325 on the processor 812. Databases 1301-1305 canbe shown with reference to weather databases 890 in FIGS. 8-9, which canalso be connected to the communications network 801 and thereby incommunication with the weather station data updater 810. Memory 811,processor 812, and input/output unit 813 can be implemented in themanner as described with respect to memory 911, processor 912, andinput/output unit 913 of the risk-product issuer computer 910.

Source data 1390 can be downloaded 1311, for example, as fixed fieldtext files or comma-delimited text files and imported into imported intoSQL tables on a local data server 1210, for example, which may beincluded in database 270. Raw data can then be prepared for processing1312 by performing systematic organization and formatting steps tofacilitate processing of minimum temperature, maximum temperature, andprecipitation relative to station location. Included in the preparationfor processing 1312 steps, for example, are the removal of weatherreadings in the source data 1390 that were flagged by the NCDC as“missing” and the replacement of trace precipitation values (“T”) a“0.01” inch value, which is the smallest non-zero precipitation valueotherwise recorded in the NCDC dataset. Initial selection 1313 ofweather stations for cleaning, filling, and backcasting can beperformed, for example, for those weather stations that are likely to beuseful for settlement. Initial selection 1313 can be determined, forexample, responsive to the presence of both temperature andprecipitation data, the number of weather readings (i.e., largehistory), and the number of missing reports (i.e., low frequency).

Data processing operations 1321 can include, for example, cleaning,filing, or backcasting weather readings in the source data 1390 toproduce derived weather data 1391, which can be included in basisweather data 272. Data processing operations 1321 require, for example,a full raw dataset, including those stations with limited data, whichcan be constructed using local data server 1210 for this purpose.Although source weather data 1390 refers, in the abstract, to weatherdata downloaded from third party databases, such as databases 1301-1305,source weather data 1390 also includes the full raw dataset comprised ofthe collective weather data downloads from any or all third partydatabases.

Cleaning weather readings in the source data 1390 can include, forexample, initial quality checks of the source data 1390 downloaded 1311from third party weather databases, such as databases 1301-1304, toidentify potential data reading errors, including the systematicexamination of records within the downloaded files with respect to NCDCquality flags associated with each weather reading, and records withmissing data can be classified accordingly, rejected, eliminated.

Filling and backcasting weather readings in the source data 1390 caninclude, for example, a preliminary classification of weather stations.In certain embodiments, there can be different types of weatherstations, such as the so-called “informational” and “enhanced” weatherstations. Informational stations are stations whose data are utilized infilling missing and backcasting historical data for each of the enhancedweather stations. Enhanced stations are stations to be potentiallyutilized and “insurable” according to embodiments of the invention.Given that more stations report daily precipitation (PRCP) data thanminimum temperature (TMIN), and maximum temperature (TMAX) data,embodiments of the invention are able to systematically “fill” or“backcast” each enhanced weather station weather readings,independently, using data from all suitable informational stationsreporting a type of weather reading on a given day.

Preliminary classification of weather stations includes determining foreach weather station the number of non-missing data observations bymonth and year. Weather stations having a first pre-determined number ofnon-missing data observations over the entire time period can beidentified as potential “informational” stations. In certainembodiments, 180 days/year is sufficient as a first pre-determinednumber of non-missing data observations. Also, weather stations having asecond pre-determined number of non-missing data observations over theentire time period can be identified as potential “enhanced” stations.In certain embodiments, 328 days/year is sufficient as a secondpre-determined number of non-missing data observations. The potentialinformational weather stations and the potential enhanced weatherstations can then be used, for example, in filling or backcastingmissing data for either the informational stations or the enhancedstations. In certain embodiments, the source data 1390 can be furtherrefined, for example, responsive to an analysis of NCDC-assigned qualityflags for the weather data. If a weather reading's assigned “datameasurement flag” was coded as “A”, “B”, “E”, “M” or “S”, or if the“data quality flag” was coded as “2”, “3”, “5”, “A”, “D”, “F”, “G”, “H”,“I”, “J”, “L”, “M”, “N”, “T”, “U”, or “V”, the weather data can betreated as missing. Refining the source data 1390 can also include, forexample, systematic operations to compare each weather readings for eachweather station to the all-time daily record in a given month for thehome state of the weather station. Furthermore, source data 1390 for theso-called informative stations (which includes the enhanced stations bydefinition) can be rescaled, as necessary, particularly in states withheterogeneous topology such as mountains, coasts, and so on. Source data1390 that was sourced from certain databases, such as the QCLCD database1304, however, generally requires no quality control corrections arenecessary due to NCDC's own quality control process addressing dataaberrations that would have been identified by these flags.

Filling operations are intended to fill minor holes in the source data1390. Filling of the source data 1390 can be performed for the enhancedweather stations, in whole or in part, for example, by retaining validweather readings from the given weather station (which can be consideredor flagged to be actual data) and adding, for any missing weatherreadings, the weather readings from any one or more “close” weatherstations that reported valid data on that day of the missing weatherreadings. In certain embodiments, close weather stations may be withinapproximately 0.5 miles from the weather station for which the fillingoperation is performed (the “filled station”). The added weatherreadings from the one or more close weather stations can also beconsidered or flagged as actual data, and is included in the definitionof derived weather data. The derived weather data resulting from thefilling operation can include, with respect to the filled station, thelocation of the one or more proximate stations used in the fillingoperation, as well as all NCDC data flags, for the day, from the weatherdata for the one or more proximate stations.

Compared to filling operations, backcasting operations are intended tofill longer periods (included open-ended periods) of missing data in thesource data 1390, for example, to allow a 30-year old weather station tobe used in simulations covering 50 years of data. Weather data from the20 years prior to the installation of the 30-year old weather stationcan be generated by the backcasting operations. Backcasting the sourcedata 1390 (or as, the case may be, the derived data resulting from thefilling operation) can be performed for the enhanced weather stations,preferably after filling operations have been performed with respect toone or more weather stations, for example, by adding for any missingdata the “backcast data” responsive to weather readings from any two ormore “area” weather stations that reported valid data on the day of themissing weather readings. In certain embodiments, area weather stationsmay be within approximately eight (8) miles from the weather station forwhich the backcasting operation is performed (the “backcast station”).The backcast data can be determined responsive to probability data anddistance data for each of the area stations. The probability data can berescaled to the backcast station's scaled weather units. The rescaledvalues can then be used in systematic processing of inverse-distanceweighting algorithms with respect to the distance data and the weatherdata for the area stations. The backcast data is included in thedefinition of derived weather data and can further include, with respectto the filled station, the location of the one or more area stationsused in the backcast operation, as well as all NCDC data flags, for theday, from the weather data for the one or more area stations.

Analytic process 1322 can be performed upon the basis weather data 272(which includes the source weather data 1390 and the derived weatherdata), such as determining for each weather station a history length;continuing reporting trends; and a statistical character for minimumtemperature, maximum temperature, and precipitation. Final selection1323 of weather stations can be performed, responsive to the analyticprocessing, to divide stations into two or more categories in exemplaryembodiments. In an exemplary embodiment, a first category can includeweather stations having a longer-term history (e.g., x>30 years) andexhibiting limited inter-temporal temperature trends (e.g., 0<x<0.09degrees Fahrenheit). In further exemplary embodiments, a second categorycan include weather stations having an intermediate term history (e.g.,10<x<30 years) and limited inter-temporal temperature trends (e.g.,0<x<0.09 degrees Fahrenheit). In further exemplary embodiments, a thirdcategory can include weather stations having a longer-term history(e.g., x>30 years) and exhibiting an intermediate trend in temperature(e.g., 0.09<x<0.143) degrees Fahrenheit). And in further exemplaryembodiments, a fourth category can include weather stations having ashorter term history and greater inter-temporal temperature trends thanany of the first, second, or third categories. Such a categorizationscheme beneficially accounts for reduced precision in trend and Betaparameter estimates associated with shorter-term data series.Accordingly, it some embodiments, it is advantageous, for example, touse the slope of the largest (in absolute value) of the statisticallysignificant monthly trend parameters to quantify the station's trend.Final station selection is based on an analysis of historical reportingpatterns, trend patterns, current reporting, and data consistency, andadvantageously allows the formation of a dataset that comprising dataused for enhanced basis weather data 272, which can provide the basisfor weather-risk products generated according to embodiments of theinvention.

Basis weather data 272 can be categorized or flagged accordingly torepresent whether the associated weather station is or is not frequentlyupdated, that is, whether the weather station is automated and, on theaverage, reports weather data more frequently than other weatherstations. Categorizing frequently updated weather stations accordinglyadvantageously allows a weather-risk product to specifically basedthereupon so that the weather-risk product results in a fastersettlement time. Stations that are not frequently updated may include,for example, other automated stations or stations for which weather datais collected manually from National Weather Service.

The foregoing steps of downloading 1311 source data 1390; preparingsource data 1390 for processing 1312; cleaning, filling, or backcasting1321 the source data 1390 can be performed a first time to build thedatabase, and can be performed at regular intervals (e.g., weekly orquarterly, or as frequently as needed) with respect to the latestweather data to update the basis weather data 272 with weather readingstaken since the last performance. As can be shown with reference to FIG.13c , the same steps of downloading 1311 source data 1390′; preparingsource data 1390′ for processing 1312; cleaning, filling, or backcasting1321 the source data 1390′ can be re-performed, but downloading 1311source data 1390′ only from those weather databases that provide ongoingupdates, such as databases 1303-1305, for example. For the purpose ofre-performing the forgoing steps, the source data 1390′ can include anyor all of the basis weather data 272 existing in the basis weatherdatabase 1230 immediately before the re-performance (“pre-existing basisweather data”). After the re-performance, the basis weather data update272′ includes the derived weather data 1391′ resulting from there-performance. In addition, preprocessing 1324 and exporting 1325 ofthe basis weather data update 272′ can be performed so that the basisweather database 1230 can merge the pre-existing basis weather data 272and the basis weather data update 272′ to re-define the most currentversion of the basis weather data 272. Pre-processing 1324 can include,for example, analysis and recording of changes in any of the trendpatterns previously observed in the analysis 1322 operation. Data to beimported into the basis weather database 1230 can be formatted forexport to be joined to the pre-existing basis weather data 272.

The weather-risk product session database 1260 can be configured, forexample, to store any data related to the operation of the virtualweather-data-station designer 230, the virtual weather-data generator240, and the weather risk-product generator 250, including a sessionidentifier for each unique set of interactions with a tract-usercomputer 200, user name or user identifier to identify the tract-user285, any of the virtual weather-data station parameters 273, any of thevirtual weather data 274. The virtual weather data 274 can be stored,organized, or configured in the same manner as is herein with respect tothe basis weather data 272.

The weather-risk product administrative database 1240 can be configured,for example, to store any data related to user accounts, including usernames, user identifiers, user addresses, user membership information,user payment records, user settlement records, data related to a user'stract, data related to a user's compliance with quality controlstandards, data related to weather-risk products selected, customized,or purchased by a user, and any other information related to a user,including a tract-user, as is known and understood by those skilled inthe art. The weather-risk product administration database 1240 caninclude another weather-risk products inventory database (not pictured),for example, to store any data related to weather-risk productspurchased by one or more users, for example data related to the scope orextent of coverage of various weather-risk products. For example, theweather-risk products inventory database can include data related to thegeographic coordinates of the tract covered, the amount of coverageprovided, the cost of various types of coverage, the liability ofvarious types of coverage, or any other information related to coverageas is known and understood by those skilled in the art. The weather-riskproducts inventory database beneficially facilitates tracking,confirmation, and settlement of weather-risk products associated witheach of the one or more users or an aggregate weather-risk productrelating to two or more users.

The weather-risk product settlement database 1250 can be configured, forexample, to store any data related to the settlement of weather-riskproducts, including for example, settlement data 279. The settlementdata 274 can be stored, organized, or configured in the same manner asis herein described with respect to the basis weather data 272. Inaddition, the foregoing steps of downloading 1311 source data 1390;preparing source data 1390 for processing 1312; cleaning, filling, orbackcasting 1321 the source data 1390 can be performed regular intervals(e.g., weekly or daily) with respect to latest weather data to providecurrent settlement data 279. Settlement data 279 is a composite datasetmaintained to allow settlement of weather-risk products. Weather-riskproducts can be analyzed with respect to the settlement data 279, alsoon a regular basis, to determine which weather-risk products, if any,can be processed for settlement. As can be shown with reference to FIG.13d , the same steps of downloading 1311 source data 1390′; preparingsource data 1390′ for processing 1312; cleaning, filling, or backcasting1321 the source data 1390′ can be re-performed, but downloading 1311source data 1390′ only from those weather databases that provide ongoingupdates, such as databases 1303-1305, for example. For the purpose ofre-performing the forgoing steps, the source data 1390′ can include anyor all of the pre-existing basis weather data. The settlement data 279can be stored at the settlement database 1250 and includes the derivedweather data 1391′ resulting from the re-performance as well as any orall of the source weather data 1390′.

Certain exemplary embodiments of the invention include aweather-risk-product customization system having a virtualweather-data-station designer 230, a virtual weather-data generator 240,and a weather risk-product generator 250. The virtualweather-data-station designer 230, virtual weather-data generator 240,and weather risk-product generator 250 can be, for example, computerprogram products virtual weather-data-station designer program product930, virtual weather-data generator program product 940, and a weatherrisk-product customizer program product 950, stored in computer-readablememory of, and executable on processors of, one computer or more thanone separate computers. As can be shown with reference to FIG. 8, eachof the virtual weather-data-station designer 230, virtual weather-datagenerator 240, and weather risk-product generator 250 can be stored asprogram products on virtual weather-data-station designer computer 830,virtual weather-data generator computer 840, and weather risk-productcustomizer computer 850, respectively, in a respective memory 831, 841,and 851. Each of the computers 830, 840, and 850 can be components ofsystem 800 and can be positioned in communication with other componentsof system 800, such as one or more tract-user computers 200, through thecommunications network 801. Also, as can be shown with reference to FIG.9, virtual weather-data-station designer 230, the virtual weather-datagenerator 240, and the weather risk-product generator 250 may beimplemented as virtual weather-data-station designer program product930, virtual weather-data generator program product 940, and a weatherrisk-product customizer program product 950, respectively, and stored inthe non-transitory memory 911 of a risk-product issuer computer 910connected to the communications network 801. Those having skill in theart will understand that other embodiments are within the scope of thedisclosure, such as those embodiments in which any one or more of thevirtual weather-data-station designer program product 930, virtualweather-data generator program product 940, and a weather risk-productcustomizer program product 950 are stored in the non-transitory memoryof any of the tract-user computer 200, the risk-product issuer computer910, any of computers 830, 840, 850, 910, or any other one or morecomputers connected to communications network 801.

As will be appreciated by those having skill in the art, computerprogram products described herein can be designed, programmed, compiled,optimized, executed, or otherwise implemented according to any ofvarious compatible programming languages, standards, libraries,application programming interfaces, protocols, development environments,or production environments. Exemplary embodiments of the inventiondescribed herein, for example, can be provided using ASP.Net 3.5 withMicrosoft AJAX 2.0 Support, AJAX Controls, and AJAX Control Toolkit.

As can be shown with reference to FIGS. 8-9, computers 830, 840, 850,910 can include, according to various exemplary embodiments of theinvention, at least a memory 831, 841, 851, 911; a processor 832, 842,852, 912; and an input/output device 833, 843, 853, 913. The processor832, 842, 852, 912 can include, for example, one or more microprocessors, microcontrollers, and other analog or digital circuitcomponents configured to perform the functions described herein. Theprocessor 832, 842, 852, 912 is the “brains” of the computer 830, 840,850, 910, and as such, can execute computer program product or products.

The processor 832, 842, 852, 912 can be any commercially availableterminal processor, or plurality of terminal processors, adapted for usein or with the computers 830, 840, 850, 910. The processor 832, 842,852, 912 can be, for example, the Intel® Xeon® multicore terminalprocessors, Intel® micro-architecture Nehalem, and AMD Opteron™multicore terminal processors, Intel® Core® multicore processors, Intel®Core 8 Duo® multicore processors, and other processors with single ormultiple cores as is known and understood by those skilled in the art.The processor 832, 842, 852, 912 can be operated by operating systemsoftware installed on memory 831, 841, 851, 911, such as Windows Vista,Windows 7, Windows XP, UNIX or UNIX-like family of systems, includingBSD and GNU/Linux, and Mac OS X. The processor 832, 842, 852, 912 canalso be, for example the TI OMAP 3430, Arm Cortex A8, Samsung S5PC100,or Apple A4. The operating system for the processor 832, 842, 852, 912can further be, for example, the Symbian OS, Apple iOS, Blackberry OS,Android, Microsoft Windows CE, Microsoft Phone 7, or PalmOS.

The computer 830, 840, 850, 910 can further include a non-transitorymemory or more than one non-transitory memories (referred to as memory831, 841, 851, 911 herein). Memory 831, 841, 851, 911 can be configured,for example, to store data, including computer program product orproducts, which include instructions for execution on the processor 832,842, 852, 912. Memory 831, 841, 851, 911, can include, for example, bothnon-volatile memory, e.g., hard disks, flash memory, optical disks, andthe like, and volatile memory, e.g., SRAM, DRAM, and SDRAM as requiredto support embodiments of the instant invention. As one skilled in theart will appreciate, though the memory 831, 841, 851, 911 is depictedon, e.g., a motherboard, of the computers 830, 840, 850, 910, the memory831, 841, 851, 911 can also be a separate component or device, e.g.,flash memory, connected to the computers 830, 840, 850, 910 through aninput/output unit 833, 843, 853, 913 or a transceiver (not shown). Asone skilled in the art will understand, the program product or products,along with one or more databases, data libraries, data tables, datafields, or other data records can be stored either in memory 831, 841,851, 911 or in separate memory (also non-transitory), for example,associated with a storage medium such as a database 270 locallyaccessible to the computers 830, 840, 850, 910, positioned incommunication with the computers 830, 840, 850, 910 through the I/O 833,843, 853, 913.

Moreover, as is perhaps best illustrated in FIG. 14, theweather-risk-product customization system can further include, forexample, a traffic management server 1410, having at least a memory1411, a processor 1412, and an input/output device 1413 that is adaptedto be in communication with one or more web servers 1420, 1430, 1440,each having at least a memory 1421, 1431, 1441; a processor 1422, 1432,1442; and an input/output device 1423, 1433, 1443. The one or more webservers can be adapted to be in communication with the risk-productissuer computer 900, which in turn can be adapted to be in communicationwith the database 270. The traffic management server 1410 can, in turn,be adapted to be in communication with one or more tract-user computers1450, 1460, 1470 via the communications network 810. According tovarious exemplary embodiments of the present invention, the trafficmanagement server 1410 can be configured to analyze incoming data fromthe one or more tract-user computers 200, 200′, 200″, and route theincoming traffic from the one or more tract-user computers 200, 200′,200″, to one of the one or more web servers 1420, 1430, 1440 based onthe quantity of incoming data traffic and the quantity of data trafficcurrently being serviced by each of the one or more web servers 1420,1430, 1440.

Advantageously, each of the web servers 1420, 1430, 1440 can beconfigured, for example, to display on one of the one or more tract-usercomputers 1450, 1460, 1470 via the communications network 810, one ormore graphical user interfaces to facilitate selection, customization,confirmation, and purchase of a unique, customized weather-risk productby a tract-user according to an exemplary embodiment of the invention asfurther described with reference to FIGS. 1, 4-7.

For example, the processor 912 can execute computer program product orproducts stored in memory 911 of the risk-product issuer computer 910including, for example, a virtual weather-data-station designer programproduct 930, to facilitate the selection by a user of virtualweather-data-station parameters for a virtual weather-data station for atract; a virtual weather-data generator program product 940 tofacilitate the generation of virtual weather data for a virtualweather-data station for a tract; and a weather risk-product customizerprogram product 950 to facilitate the selection by a user of customizedcontract parameters for a weather-risk product, the confirmation by auser of the hypothetical performance of the customized contractparameters with respect to the virtual weather data, the generation of acustomized weather-risk product with respect to the customized contractparameters and the virtual weather data, and the purchase by a user ofthe customized weather-risk product.

Furthermore, the processor 912, upon executing the weather risk-productcustomizer program product 950, can be commanded by the user tore-execute any of the virtual weather-data-station designer programproduct 930 to facilitate the re-selection by a user of revised virtualweather-data-station parameters for a virtual weather-data station for atract; the virtual weather-data generator program product 940 tofacilitate the re-generation of revised virtual weather data for avirtual weather-data station for a tract; or the weather risk-productcustomizer program product 950 to facilitate the re-selection by a userof revised customized contract parameters for a weather-risk product,the re-confirmation by a user of the hypothetical performance of therevised customized contract parameters with respect to the revisedvirtual weather data, the generation of a revised customizedweather-risk product with respect to the revised customized contractparameters and the revised virtual weather data, and the purchase by auser of the revised customized weather-risk product.

A risk-product customization system according to various exemplaryembodiments of the present invention can provide a framework and aconstruct for users, such as, for example, farm operators, to exploreand customize the design and structure of weather-risk products thatreflect their risk management needs and to purchase a customizedweather-risk product reflecting customized parameters from one or morerisk-product issuing entities. The risk-product customization systemfurther allows the one or more risk-product issuing entities to generatea customized virtual weather-data station, having virtual weather data,according to the selections of one or more users. Accordingly, therisk-product customization system according to various exemplaryembodiments of the present invention can also provide a framework andconstruct for users to explore and customize virtual weather-datastations reflecting a unique applicability to the user's risk managementneeds and to purchase a customized weather-risk product furtherreflecting the virtual weather data of the virtual weather-data stationfrom one or more risk-product issuing entities.

The tract-user can first select the geographic parameters of a virtualweather-data station for the tract using a graphical user interfacedisplay. The geographic parameters can be selected with specificreference to a displayed map image including the tract and alsoincluding markers for weather stations on or near the user's tract. Thegeographic parameters can be graphically selected on the graphical userinterface display so that the user appears to be selecting one or moreweather-station markers enclosed within a selection box, a selectioncircle, or other type of “lasso” selection tool that the user cancontrol on the graphical user interface display.

The tract-user can next select one or more individual weather stations(i.e., user-selected weather stations), using a graphical user interfacedisplay, that correspond to the weather-station markers that werepreviously selected by being enclosed by the user within the selectionbox, selection circle, or other type of lasso selection tool. The usercan then weight the user-selected weather stations, using a graphicaluser interface display to select user-selected weights for theuser-selected weather stations, according to the unique risk-managementneeds of the tract-user, for example, to design a hypothetical weatherstation that can be presumed to reflect the actual weather experiencedon the user's tract (i.e., a custom virtual weather-data station).

The risk-product issuer computer can next generate virtual weather datafor the virtual weather-data station by selecting from a nationalweather database the weather records relating to the user-selectedweather stations and applying the user-selected weights to the weatherdata for the user-selected weather stations. The risk-product issuercomputer can store the virtual weather data for the custom virtualweather-data station in a session database so that the virtual weatherdata can be used to model the hypothetical performance of a weather-riskproduct based upon the virtual weather data and so that customizedcontract terms can be determined for a weather-risk product based uponthe virtual weather data.

The tract-user can next select one or more weather-risk parameters(i.e., user-selected weather-risk parameters), using a graphical userinterface display, to allow a proposed weather-risk product to bepresented to the user so that the user can confirm the performance ofthe weather-risk product.

The risk-product issuer computer can next generate timeframe-specificvirtual weather data for the virtual weather-data station responsive tothe user-selected weather risk parameters by selecting from the virtualweather data the weather records relating to the user-selectedweather-risk parameters. In addition, the risk-product issuer computercan determine customized contract terms for the proposed weather-riskproduct responsive to the timeframe-specific for the virtualweather-data station responsive to the user-selected weather riskparameters responsive to actuarial tables.

The tract-user can then confirm whether a proposed weather-risk producthaving the user-selected weather risk parameters and the customizedcontract terms performs to the user's satisfaction with respect to thetimeframe-specific virtual weather data, thereby providing a simulatedperformance of the proposed weather-risk product. If the user issatisfied with the performance of the proposed weather-risk product andconfirms the user-selected weather risk parameters and the customizedcontract terms, the user can purchase a weather-risk product to begenerated, and the risk-product issuer computer can so generate theweather-risk product, responsive to the user-selected weather riskparameters and the customized contract terms. Alternatively, if the useris not satisfied with the performance of the proposed weather-riskproduct. The user-selected weather risk parameters, or the customizedcontract terms, the user can return to re-select the geographicparameters of a virtual weather-data station for the tract, re-selectone or more user-selected weather stations, re-select the user-selectedweights, or re-select one or more weather-risk parameters. In responseto any of the foregoing re-selections, the risk-product risk issuercomputer can perform any of the foregoing steps described with respectto the original selection.

With reference to FIGS. 2 and 3 a, certain functional aspects of thevirtual weather-data-station designer 230, the virtual weather-datagenerator 240, and the weather risk-product generator 250 can be shown.FIG. 2 contains a schematic which shows the interface-enabledinteraction and data transfer between the user 285, the display 284 atthe tract-user computer 200, and each of the virtualweather-data-station designer 230, the virtual weather-data generator240, and the weather risk-product generator 250. The schematic of FIG. 2further shows the data transfer between the database 270 and each of thevirtual weather-data-station designer 230, the virtual weather-datagenerator 240, and the weather risk-product generator 250. FIG. 3acontains a flow chart that mirrors the schematic blocks that appear inFIG. 2 and incorporates a process flow chart, wherein the squareelements represent programmatic steps and circle elements representdata. The positions of the circle elements and the arrows in FIG. 3arepresent the receipt and transfer of the data according to exemplaryembodiments, and the position of square elements represents theexecution of the programmatic step according to the exemplaryembodiments.

According to certain exemplary embodiments of the invention, as can beshown with reference to FIG. 2, the virtual weather-data-stationdesigner 230 allows a user to configure a virtual weather-data stationfor a tract. The virtual weather-data-station designer 230 provides ageographic weather-data selection interface 301 and a source selectioninterface 309 to be displayed to a user 285 at a display 284 of thetract-user computer 200. The geographic weather-data selection interface301 and the source selection interface 309 incorporate map data 271representing geographic and political properties of the earth surface aswell as basis weather data 272 representing the properties of aplurality of weather stations positioned at different locations on theearth surface. The plurality of weather stations represent, for example,weather stations reporting source weather data 1390 as is describedherein with reference to FIG. 13 b.

The series of operations performed by the virtual weather-data-stationdesigner 230 can be shown by reference to the flow chart in FIG. 3a . Inexemplary embodiments of the invention, the virtual weather-data-stationdesigner 230 can perform a step of generating 300 the geographicweather-data selection interface 301 to display to the user 285 at adisplay 284 at the tract-user computer 200, and the virtualweather-data-station designer 230 can also perform a step of generating308 the source selection interface 309 to display to the user 285 at adisplay 284 at the tract-user computer 200.

According to exemplary embodiments of the invention, as can be shown byreference to FIG. 1, interface display 100 is displayed to the user 285at the display 284 by the geographic weather-data selection interface301. The geographic weather-data selection interface 301, and interfacedisplay 100 in particular, allow the user 285 at the tract-user computer200 to select the geographic parameters of a virtual weather-datastation for the tract using a graphical user interface display. Thegeographic parameters can be selected with specific reference to adisplayed map image including the tract and also including markers forweather stations on or near the user's tract. The geographic parameterscan be graphically selected on the graphical user interface display sothat the user appears to be selecting one or more weather-stationmarkers enclosed within a selection box, a selection circle, or othertype of “lasso” selection tool that the user can control on thegraphical user interface display.

Interface display 100 includes a geographic map image 191, whichcorresponds to a geographic coordinate system. Although geographic mapimage 191 appears as a drawing or a schematic rendition of the earthsurface, geographic map image may also be, for example, a satelliteimage or any other representation of the earth surface. Thecorrespondence between map image 191 and the geographic coordinatesystem allows each point in the map image 191 to correspond to arespective location on the earth surface, both of which can beidentified by one or more coordinates in the geographic coordinatesystem. Likewise, the features appearing on the map image 191, such ascolor, terrain styling, labels, and so on can correspond to the featuresof the earth surface at the corresponding location on the earth surface.Map image 191 can include, for example, a raster image or a vector imagestored as map data 271 at the database 270. Map image 191 includes allicons, dots, keys, geographic or political markers, boundaries,features, labels, roads, boundaries, borders, etc. (“map features”) thatappear overlaid or incorporated therein with reference to interfacedisplay 100. As will be appreciated by those having skill in the art,any of such map features can also correspond to a respective location onthe earth surface, for example, county line 193. As those having skillin the art will appreciate, the map features can also be sourced fromthe same, or from a different, raster image or vector image stored asmap data 271 at the database 270.

As can be further shown in FIG. 1, the map image 191 can also haveoverlaid or incorporated therein a plurality of weather-station markers,such as weather-station markers 101, 102, 103, 104, 105, 106, 107. Eachof the weather-station markers 101, 102, 103, 104, 105, 106, 107 can beoverlaid on the map image 191, for the purpose of display at the display284, at a position thereon based on the location of an existing actualweather station on the earth surface. The location of the existingactual weather stations can be defined in the basis weather data 272 atthe database 270 according to the common geographic coordinate system.Accordingly, each of the weather-station markers appears on thegeographic map image 191 at a position corresponding to the location ofthe actual weather station on the earth surface. Each of theweather-station markers, for example, weather-station marker 103, isanchored to a specific position on the geographic map image so that theweather-station marker appear to be at the same location on the earthsurface in the map image 191 regardless of changes in scale (e.g., zoom)and focus (e.g., pan) of the map image 191.

As can be further shown in FIG. 1, each of the weather-station markers,for example weather-station marker 101, includes a weather-stationmarker name, such as weather-station marker name 192, displayed adjacentto the weather-station marker so that a user is able to readily identifya particular weather-station marker not only with reference to theposition of the weather-station marker on the geographic map image 191,but also based on the user's knowledge of the weather-station markername. As will be understood by those having skill in the art, theweather-station marker names, as well as other properties of the weatherstations that can be displayed in the map image 191, can also be definedin the basis weather data 272 at the database 270.

The geographic map image 191 and the weather-station markers 101-108overlaid thereon or incorporated therein are referred to herein as acomposite weather-station map. As will be understood by those havingskill in the art, the composite weather-station map, depending on ascale factor, may be larger than can be viewed by the user 285 anddisplayed in the map window 190 of the interface display 100. As thosehaving skill in the art will appreciate, more or less of the map image191 may be visible in map window 190 at any given image resolution basedon the physical dimensions of the display 284. Accordingly, the portionof the composite weather-station map displayed in the map window 190 canbe adjusted by the user 285 using well-known map control functions suchas the so-called “pan” and “zoom” functions. As can be shown withreference to FIG. 1, zoom control buttons (zoom in and zoom out) 161 cancontrol the scale of the composite weather-station map and pan controlbutton 162 can control the scope of the composite weather-station mapdisplayable on the display 284. The zoom control buttons 161 and the pancontrol buttons 162 allow the user 285 to configure the compositeweather-station map so that the location of the relevant tract on theearth's surface can be represented by the composite weather-station mapappearing at the display 284. In addition, pan and zoom functions may beimplemented according to other techniques known to those having skill inthe art, such as click-and-drag to pan or a zooming selection box, wherethe zoomed map image corresponds to the area selected via the selectionbox. To allow the user to observe the scale of the map image, a scalevalue can be displayed to the user 285, for example, by a scalereference area 130.

An exemplary embodiment in which the map image 191 is zoomed out can beshown with reference to FIG. 4b . As can be shown with reference to thescale reference 130, the resolution of the map image 191 is such thatthe length dimension of the scale reference 130 corresponds to 1500miles on the surface of the earth. As can be shown with reference toFIG. 4c , a zooming selection box 404 can be created by the user with acursor in the manner described herein with respect to a user-selectedmap area 153. The geographic coordinates corresponding to the verticesof the zooming selection box 404 can be used to re-frame the map image190 upon zooming in on the map image 190 responsive to the selection ofthe zooming selection box 404.

An exemplary embodiment in which the map image 191 is zoomed in can beshown with reference to FIG. 4d . For example, the map image 190 isshown being re-framed responsive to the selection of zooming box 404from FIG. 4c , and it should be noted that the length dimension of thescale reference 130 in the re-framed (i.e., zoomed-in) map image 190corresponds to 90 miles on the surface of the earth. At this resolutionlevel for example, the user can observe landmarks such as county lines493 and city makers 490 that are not displayed at more distant zoomlevels. In addition, at such a zoom level it is practical to showweather-station markers, such as weather-station marker 492, which canbe toggled on or off using the weather station toggle selector 491.

An exemplary embodiment in which the map image 191 can variably displayall weather-station markers or weather-station markers only for stationsthat are frequently updated can be shown with reference to FIGS. 4d-4e .In FIG. 4d , for example, the rapid response toggle control 405 isselected, resulting the map image 191 displaying weather-station markersfor only those stations that are frequently updated. In contrast, FIG.4e shows that rapid response toggle control 406 is de-selected,resulting in the map image 191 displaying weather-station markers forall weather stations located in the area represented by the map image191.

Another exemplary embodiment in which the map image 191 is zoomed in canbe shown with reference to FIG. 4g . For example, the map image 190 isshown being re-framed responsive to the selection of zooming box 408from FIG. 4f , and it should be noted that the length dimension of thescale reference 130 in the re-framed (i.e., zoomed-in) map image 190corresponds to 20 miles on the surface of the earth. At this resolutionlevel for example, the user can even more clearly ascertain or discernlandmarks such as county lines, city markers, and weather-stationmarkers, such as weather-station marker 409.

An exemplary embodiment in which the map image 191 is panned can beshown with reference to FIG. 4h . For example, the map image 190 isshown being re-framed responsive to a click-and-drag style pan to left,and it should be noted that the area represented in FIG. 4g has shiftedto the right in FIG. 4h , for example, by noting and comparing thepositions of weather-station marker 409 in FIGS. 4g-4h in the map image191.

As can be further shown with reference to FIG. 1, the weather-stationmarkers 101-108 can serve as landmarks, along with other map features,which allow the user 285 to recognize whether the relevant tract iscurrently being represented by the composite weather-station mapdisplayed at the display 284 or to determine whether the use of pan orzoom functions are required to bring the relevant tract into thecomposite weather-station map to be displayed at the display 284. Aswill be known to those having skill in the art, the geographic map imageincludes other landmarks such as bodies of water, land masses, countynames, county lines, city markers, roads, all of which may be sourcedfrom the same, or from a different, raster image or vector image storedas map data 271 at the database 270.

Those having skill in the art will appreciate various techniques forsourcing, generating, or displaying the geographic map image 191 beingassociated with a geographic coordinate system, including any featuresor other images overlaid thereon or incorporated therein, andfacilitating the display and user-control of panning, zooming,selection, and so on with respect to the geographic map image 191. Forexample third-party software tools available to implement thefunctionality described herein include “ASP Map” by VDS Technologies ofDover Delaware and “Bing Maps” by Microsoft Corporation of Redmond,Wash.

With further reference to the flow chart in FIG. 3a , the geographicweather-data selection interface 301 allows the user 285, who isobserving the interface display 100 on the display 284 of the tract-usercomputer 200, to graphically select 302 a plurality of geographicparameters 304 for the relevant tract. The plurality of geographicparameters 304 for the relevant tract define an area of the compositeweather-station map that corresponds to the tract on the earth surface.The plurality of geographic parameters 304 are used in customizing thevirtual weather-data station for the tract. Certain embodiments allowthe selection of the plurality of geographic parameters 304 through agraphical selection feature allowing the selection of a user-selectedmap area as can be shown by user-selected map area box 153. Theuser-selected map area box 153 provides a graphical representation ofthe user-selected map area viewable by the user. Although the boundariesof the user-selected map area may mirror the tract exactly, theuser-selected map area may also be an approximation of the tract or asuperset or a subset of the tract. The user-selected map area may belarger than the tract, for example, if the user wishes to define theuser-selected map area so as to include certain weather-station markerswithin the user-selected map area, thereby selecting suchweather-station markers for inclusion into the virtual weather-datastation. Accordingly, the user-selected map area can represent any areaof interest to the user with respect to the tract. For example, the usermay select the user-selected map area specifically to incorporatecertain weather stations, thus using the user-selected map areaselection box 153 as a “lasso” to select certain weather-stations. Auser may also select the user-selected map area so that theuser-selected map area selection box represents the boundaries of thetract. In all cases, however, the user-selected map area is selected bythe user 285 with specific reference to the map features appearing onthe composite weather-station map at the display 284, including any ofthe weather stations markers 105-108, or other geographic or politicalfeatures, landmarks, or labels, e.g., label 192 appearing overlaid on orincorporated in the geographic map image 191.

As can be shown with reference to FIG. 4a , the user-selected map areaselection box is not limited to being rectangular in shape but may alsobe, for example, a circle 401. In other embodiments, for example, theuser-selected map area selection box 153 may be any n-sided concave orconvex polygon (not pictured). In embodiments where the user-selectedmap area selection box 401 is a circle, there can be overlaid on the mapimage 191 in the map window 190 certain information 402 concerning theradius of the user-selected map area selection box 401. In addition, theuser-selected map area selection box 401 can include a radial indicator403 to allow the user to visually represent the linear distance betweenthe first selection point 151, at the center of the selection box 401and the location of the cursor 150 at the second selection point 152 atthe circumference of the selection box 401.

Each position of the map image 191 correlates to a unique set ofgeographic coordinates in the geographic coordinate system, and theuser-selected map area 153 also correlates to one or more unique sets ofgeographic coordinates in the geographic coordinate system. Theplurality of geographic parameters 304 are any one or more values thatcan define the user-selected map area 153, which can be the tract, forexample, in the geographic coordinate system. Accordingly, in certainembodiments, the geographic parameters 304 may be one or more coordinatesets defining, for example, the coordinates of the rectangular vertices,i.e., points 151 and 152, of the user-selected map area 153. Thegeographic parameters 304 may also include the coordinates of onerectangular vertex, e.g., point 151, of the user-selected map area 153and any number of values representing the x-dimension, and y-dimensionof the user-selected map area 153 with respect to the one rectangularvertex 151. Those having skill in the art will recognize any other setof values that can be used to define an area of the tract, such as acenter point and a radius of a circular user-selected map area or anyvalues representing the vertices of any n-sided polygonal shape.

As can be shown with reference to FIG. 1, user 285 at the tract-usercomputer 200 can control the position of cursor 150. Cursor 150 is areference to a variable position on the display 284 or in the interfacedisplay 100 corresponding to an input device adapted to receive inputfrom the user 285 with respect to the position on the display 284 or theinterface display 100. The cursor 150 may include a movable visualindicator, such as a mouse arrow as shown in FIG. 1. In certaincircumstances, however, no visual indicator is required, for example, ifthe input device is a touch screen, and the user's finger serves as avisual indicator of the cursor 150 position. In all cases, the cursor150 corresponds to a position on the display screen referred to hereinas a cursor position, such as cursor position 151 or 152. Cursorpositions 151, 152 each correspond to a unique position on the compositeweather-station map, and thus, to a set of geographic coordinates in thegeographic coordinate system.

The plurality of geographic parameters 304 can be selected by the user285 having positioned the cursor 150 at more than one position on thegeographic map image, such as at cursor position 151 or 152 and makingan affirmative selection at such positions. As can be shown withreference to FIG. 1, for example, the user can position the cursor 150at cursor position 151, and make an affirmative selection of cursorposition 151 by making a first mouse click. The user can then positionthe cursor 150 at cursor position 152 and make another affirmativeselection of cursor position 152 by making a second mouse click. Thosehaving skill in the art will appreciate that the affirmative selectionsmay be accomplished by other types of user action, such as by adouble-click, a click-hold, a click-release, a finger-tap, a keyboardkey press, and so on. In all cases, the cursor position selected shallbe the cursor position at the moment that the corresponding affirmativeselection is made. The plurality of geographic parameters 304 definesone or more vertices (or center or edge, as the case may be) of theuser-selected map area and can include, for example, the geographiccoordinates corresponding to one or more of the cursor positionsselected. By way of further example, the plurality of geographicparameters 304 can relate to any of the vertices of the user-selectedmap area box 153 or any point within the user-selected map area box 153that can be referenced in defining the boundaries of the user-selectedmap area.

Returning to FIG. 3a , it can be shown that the virtualweather-data-station designer 230 further performs a step of determining305 a plurality of weather-station identifiers 307 responsive to theplurality of geographic parameters 304 selected by the user 285 at thetract-user computer 200. The plurality of geographic parameters 304 maybe received from the geographic weather-data selection interface 301,for example, responsive to the user 285 making an affirmative selectionusing an input device at the tract-user computer 200 with respect to thegeographic parameters selected in step 302. Such an affirmativeselection can include the second mouse click at cursor position 152, forexample, thus defining the user-selected map area and thereaftertransmitting the geographic parameters corresponding to theuser-selected map area box 153 to the virtual weather-data-stationdesigner 230. Those having skill in the art will appreciate that aseparate submit button (not shown) may be incorporated for the purposeof making the affirmative selection, thereby allowing the user anopportunity to confirm or change the user-selected map area beforetransmitting the geographic parameters 304 to the virtualweather-data-station designer 230.

Once the geographic parameters 304 have been transmitted from thegeographic weather-data selection interface 301 to the virtualweather-data-station designer 230, the virtual weather-data-stationdesigner can determine 305 the plurality of weather-station identifiers307 responsive thereto. The weather-station identifiers 307 determinedthereby define a plurality of graphically-selected weather stations.Weather-station identifiers can be, for example, any string or one ormore characters that serves to distinguish one weather station from anyother weather station. Accordingly, each weather-station identifier isunique and corresponds to a single weather-station. The weather-stationidentifier can be used as a key in a relational database to relate aweather-station identifier to one or more data records for the weatherstation corresponding to the weather-station identifier, such as thatreferenced as basis weather data 272. For example, each weather-stationidentifier can relate to weather-station location data within the basisweather data 272. The weather-station location data can include any datathat identifies the location of the weather station on the earthsurface, for example, geographic coordinates for the weather stationaccording to the geographic coordinate system.

The operation of determining 305 the plurality of weather stationidentifiers 307 responsive to the plurality of geographic parameters 304can include, for example, database operations to select one or moreweather station identifiers for one or more data records for which theweather-station location data matches the area defined by the geographicparameters 304. The match can be either literal or approximate. In aliteral match, only weather-stations having weather-station locationdata within the user-selected map area will match to the geographicparameters 304. With reference to FIG. 1, by way of example, thegeographic parameters 304 for the user-selected map area will result ina literal match only to those weather stations appearing within theuser-selected map area box 153, such as weather stations 105, 106, 107,and 108. In an approximate match, weather-station location data that iswithin a certain pre-selected zone of distance from the user-selectedmap area will match to the geographic parameters 304. For example, anapproximate match may depend on one or more proximity parameters todefine an enlarged zone corresponding to geographic parameters enlargedby a pre-selected distance. Those having skill in the art willappreciate various techniques to allow approximate matching ofweather-station location data, including, for example, radial orrectilinear enlargement of the user-selected map area defined by thegeographic parameters 304.

According to exemplary embodiments of the invention, as can be furthershown by reference to FIG. 5a , the source selection interface 309 isdisplayed as interface display 500. The source selection interface 309,through the interface display 500 in the exemplary embodiment, allowsthe user 285 at the tract-user computer 200 to fine-tune the virtualweather-data station with respect to the plurality ofgraphically-selected weather stations. Such fine-tuning includes theability to selectively incorporate any of the graphically-selectedweather stations into the virtual weather-data station. The selectivelyincorporated weather stations thereby define a plurality ofuser-selected weather stations. By way of example, thegraphically-selected weather stations may include one or more weatherstations that the user does not wish to include for the purposes ofbuilding the virtual weather-data station. The user, for example mightnot have been able to exclude such stations when graphically selectingthe geographic parameters 304. By way of further example, with referenceto FIG. 1, the user may wish to ignore weather station 107 in buildingthe virtual weather-data station. Such fine-tuning also includes theability to selectively weight each of the plurality of user-selectedweather stations if, for example, two or more user-selected weatherstations do not equally relate to the weather for the tract. By way ofexample, the user may be aware that certain user-selected weatherstations do not reflect the weather at the tract as closely as otheruser-selected weather stations, and the user may wish to reduce orincrease the effect of certain weather stations on the virtualweather-data station. The user-selected weather stations and can beidentified, named, selected, or referred to using correspondinguser-selected weather-station identifiers. The weather stations weightsselected at the source selection interface display 500 are referred toherein as user-selected weather-station weights.

Returning to FIG. 5a , the source selection interface display 500 caninclude a weather-station confirmation field 510. The weather-stationconfirmation field 510 allows the user 285 at the tract-user computer200 to confirm which of the graphically-selected weather stations are tobe included in the user-selected weather stations, and thereby,incorporated in the virtual weather-data station.

At the weather-station confirmation field 510, weather-stationconfirmation controls 511, 512, 513, 514 are displayed for each weatherstation of the graphically-selected weather stations. With reference toweather-station confirmation controls 514 for an exemplary weatherstation, it can be shown that weather-station confirmation controls caninclude, for example, buttons 514 a-b to add or to remove, respectively,the weather station having weather station name 514 c from theuser-selected weather stations to be included in the virtualweather-data station. Weather-station confirmation controls can alsoinclude, for example, the weather station name 514 c, which can also bethe weather-station identifier, and the weather station type 514 d.

The source selection interface 309 can be configured to allow dynamicupdating of the source selection interface display 500 when the userselects the add button, e.g., button 514 a, for a particular weatherstation. For example, upon clicking the add button 514 a, the weatherstation having the name 514 c can be added to the list of user-selectedweather stations in weighting field 520. Likewise, the source selectioninterface 309 can be configured to allow dynamic updating of the sourceselection interface display 500 when the user selects the remove button,e.g., button 514 b, for a particular weather station. For example, uponclicking the remove button 514 b, the weather station having the name514 c can be removed from the list of user-selected weather stations inweighting field 520.

As can be further shown in FIG. 5a , the source selection interfacedisplay 500 can include a weather-station weighting field 520. Theweather-station weighting field 520 allows the user 285 at thetract-user computer 200 to select a weighting factor for each of theuser-selected weather stations according to the desired relative effectof each of the weather stations to the virtual weather-data station. Thedesired relative effect of each of the user-selected weather stations tothe virtual weather-data station may be based on, for example, thesubjective knowledge and preferences of the user 285 concerning each ofthe user-selected weather stations. The desired relative effect of eachof the user-selected weather stations to the virtual weather-datastation may also be based on, for example, objective importance criteriasuch as distance, altitude difference, historical weather patterns,geographic features, and so on.

At the weather station weighting field 520, weather-station weightingcontrols 521, 522, 523 are displayed for each of the user-selectedweather stations added at the weather-station confirmation field 510.With reference to weather-station weighting controls 523 for anexemplary weather station, it can be shown that weather-stationweighting controls can include, for example, buttons such as button 523c to remove the weather station from the user-selected weather stationsto be included in the virtual weather-data station. The weather-stationweighting controls can also include, for example, the weather stationname 523 a and a weather-station weight selection box 523 b. Theweather-station weight selection box, e.g., selection box 523 b, allowsthe user to input a numerical weight value corresponding to the desiredrelative effect of the weather station with respect to the virtualweather-data station. The numerical weight value corresponds to therelative degree to which weather data from the corresponding weatherstation will effect the virtual weather data for the virtualweather-data station. The weights for each of the user-selected weatherstations expressed as ratios or percentages, and as such, are requiredto add to 1 or 100 (percent).

Reference to FIGS. 5b-5d provides a walkthrough of the interaction ofuser 285 with the source selection interface 309 through the sourceselection interface display 500. As can be illustrated with reference toFIG. 5b , the source selection interface display 500, particularly theweather-station confirmation field 510, can be initially populated asshown at weather-station confirmation controls 511, 512, 513, 514 foreach of the graphically-selected weather stations, for example, weatherstations 105-108 in the selection box 523 as can be shown in FIG. 1. Atthis point, before any of the graphically-selected weather stations havebeen added at the weather-station confirmation field 510, there are nouser-selected weather stations to be shown at the weather-stationweighting field 520.

Continuing in the walkthrough of user interaction with the sourceselection interface display 500, as can be illustrated with reference toFIG. 5c , the source selection interface display 500, and moreparticularly the weather-station confirmation controls 511 for theweather station named “Billings Logan International Airport” 511 c, whenthe user 285 selects the corresponding add button 511 using the cursor511 e, the weather-station weighting controls 521 are added at theweather-station weighting field 520 for the same weather station, thusindicating to the user that the weather station is a user-selectedweather station. To remove the same weather station from theweather-station weighting field 520, the user 285 can click the removebutton 521 c corresponding to the weather station named “Billings LoganInternational Airport” 521 a. To select a weighting value for the sameweather station, the user can enter a weighting value in weightselection box 521 b, which corresponds to the same weather station.Alternatively, as can be illustrated with reference to FIG. 5d , theuser can click on full-confirmation box 501, and the individual userselections for adding and weighting the weather stations can be skipped.Clicking on full-confirmation box 501 selects all of thegraphically-selected weather stations, which appear in theweather-station confirmation field 510, as user-selected weatherstations and selects equal weights (i.e., summing to 1 or 100%) for eachof the user-selected weather stations.

Returning to FIG. 5a , once the user-selected weather stations have beenselected and the corresponding user-selected weights have been selectedas is shown in the weighting field 520, the user 285 at the tract-usercomputer 200 can initiate the transmission 311 of these selections,namely the plurality of user-selected weather station identifiers 312and the plurality of user-selected weather-station weights 313, to thevirtual weather-data-station designer 230 so that a virtual weather-datastation can be constructed responsive thereto. The plurality ofuser-selected weather station identifiers 312 and the plurality ofuser-selected weather-station weights 313, collectively, define aplurality of user-selected virtual weather-data-station parameters.

The user 285 can initiate the transmission 311 of the user-selectedvirtual weather-data-station parameters, for example, by selectingsubmit button 502. Alternatively, the user can return to the geographicweather-data selection interface display 100 to select differentgeographic coordinate parameters then return to the source selectioninterface display 500 to select new or updated user-selected virtualweather-data-station parameters. In certain embodiments, once theuser-selected virtual weather-data-station parameters are transmitted311 to and received by the virtual weather-data-station designer 230,the virtual weather-data-station designer can store the plurality ofuser-selected weather station identifiers 312 and the plurality ofuser-selected weather-station weights 313 at the database 270, forexample, in a session database, in a table for the user-selected virtualweather-data-station parameters 273, as can be shown with reference toFIG. 2. Storing the user-selected virtual weather-data-stationparameters at the database 270 allows a virtual weather-data station tobe defined responsive to the user's selections. In other embodiments,the user-selected virtual weather-data-station parameters may besubmitted directly to a computer, computer program product, or othermodule to generate virtual weather-data, such as virtual weather-datagenerator 240.

According to certain exemplary embodiments of the invention, as can beshown with reference to FIG. 2, the virtual weather-data generator 240generates virtual weather data for a tract corresponding to theuser-selected virtual weather-data-station parameters. The series ofoperations performed by the virtual weather-data generator 240 can bebest shown by reference to the flow chart in FIG. 3a . In exemplaryembodiments of the invention, the virtual weather-data generator 240 canperform an operation of determining 314 a plurality of station-specificweather histories 315 and an operation of generating the virtual weatherdata 317 responsive to the plurality of user-selected weather stationidentifiers 312 and the plurality of user-selected weather-stationweights 313, thereby defining a virtual weather-data station withrespect to the user-selected virtual weather-data-station parameters.The virtual weather-data generator 240 relies on basis weather data 272,particularly with respect to those weather stations corresponding to theplurality of user-selected weather station identifiers 312.

In an exemplary embodiment of the invention as can be shown withreference to FIG. 3a , the WSG 240 performs an operation of determining314 a plurality of station-specific weather histories 315. Thestation-specific weather histories are determined responsive to theuser-selected weather-station identifiers 312, each of which can be usedas a key in the database 270 relating to individual weather historiesfor each of the weather stations corresponding to each of the pluralityof user-selected weather-station identifiers 312. The weather historyfor a weather station can include, for example, a plurality of weatherreadings collected at the weather station. Each of the plurality ofweather readings corresponds to a unique weather parameter observed andrecorded at a particular weather station in or at a particular timeframe(such as on a particular day or at a particular time of day). Theweather parameters can include, for example, precipitation, temperature,wind, barometric pressure, and so on. The weather history for a weatherstation can also include, for example, derivations of the weatherreadings including averages, maximums, minimums, and so on. Suchderivations can also correspond to unique weather parameters observed ata particular weather station at a particular timeframe.

The operation of determining 314 a plurality of station-specific weatherhistories 315 can include, for example, a database query to select anyor all of the weather readings in the basis weather data 272corresponding to the user-selected weather stations according to theplurality of user-selected weather-station identifiers 312. Theplurality of user-selected weather-station identifiers 312, for example,can be stored in the user-selected weather-station parameters table 273at the database 270. As a result of the query, for example, the selectedweather readings can be loaded into memory locally accessible by thevirtual weather-data generator 240 so that they may be readily accessedby the virtual weather-data generator 240. Alternatively, the result ofthe query can also be, for example, to load these selected records intomemory at the database 270 so that the records may be accessed directlyby the database management software in database 270, for example, whenrequested by other computer programs or software modules. The pluralityof station-specific weather histories 315 can be identified in memorylocally accessible to the virtual weather-data generator 240 or in thedatabase 270 using the corresponding weather-station identifier of theplurality of weather-station identifiers 312.

In an exemplary embodiment of the invention as can also be shown withreference to FIG. 3a , the WSG 240 performs an operation of generating316 virtual weather data 317 responsive to the plurality ofstation-specific weather histories 315. The operation of generating 316the virtual weather data 317 includes processing the plurality ofstation-specific weather histories 315 using a computer algorithm that,for each weather history of the plurality of station-specific weatherhistories, multiplies one or more of the weather readings in thatweather history by the user-selected weather-station weight 313 for thecorresponding weather station, thereby defining a plurality of weightedweather readings. Each of the plurality of weighted weather readingscorresponds to a unique weather station, weather parameter, andobservation timeframe (such as a particular day). For each weatherparameter and each observation timeframe, all of the weighted weatherreadings for all weather stations are thereafter summed to provide acomposite weather reading for the weather parameter for the observationtimeframe.

The foregoing exemplary operation can be shown in further detail withreference to FIG. 3b . In FIG. 3b , each of the major columns representsa different timeframe T1, T2, and T3, each of the minor columnsrepresents a different weather station S1, S2, and S3. Each of the rowsrepresents a different weather parameter. With reference to the datarepresented by blocks in the top-left quadrant 390, all of the datacorresponds to timeframe T1 and parameter P1. Each of the readings forparameter P1 at timeframe T1, for each station S1, S2, S3, arerepresented by blocks P1T1S1, P1T1S2, and P1T1S3, respectively. Eachweather reading represented by these blocks is multiplied by theweighting factor for the individual weather station as represented byoperations W, W′, and W″, respectively, which can output weightedweather readings W1T1S1, W1T1S2, and W1T1S3, respectively. Weightedweather readings W1T1S1, W1T1S2, and W1T1S3 are then summed, as isrepresented by operation S, and the result is the composite weatherreading P1T1-C, which represents a virtual or composite weather readingfor parameter P1 at timeframe T1 for the virtual weather-data station.Likewise, the remainder of FIG. 3b illustrates how composite weatherreadings P2T1-C, P3T1-C, P1T2-C, P1T2-C, P3T2-C, P1T3-C, P2T3-C, andP3T3-C are generated. Accordingly, the generated composite weatherreadings define the virtual weather data, and each composite reading inthe virtual weather data thereby corresponds to a weather parameter andan observation timeframe. As is apparent from the foregoing description,the degree to which the weather readings at the component weatherstations S1, S2, and S3 affect the weather readings of the virtualweather-data station depend on the weightings W, W′, and W″ thatcorrespond, respectively, to each component weather station. As will beappreciated by those having skill in the art, the foregoing algorithm isapplicable to any number of weather stations, for any number of weatherparameters, and for any number of observations. Also, as will beappreciated by those having skill in the art, different weightings canbe used for different parameters or for different timeframes, as long asthe corresponding weightings for any N number of weather stations sumsto 1 or 100 percent. Accordingly, the virtual weather data 317 provideshypothetical historical weather data for a virtual weather-data stationpresumed to be on the tract, based on the specific customization by theuser's selections 312 and weightings 313.

Once the virtual weather data 317 has been generated 316,weather-risk-products can be generated responsive thereto. In certainembodiments, as can be shown with reference to FIG. 3a , the virtualweather-data generator can store 31 a the virtual weather data 317 atthe database 270, for example, in a session database, in a virtualweather data table 274 as can be shown with reference to FIG. 2. Storingthe virtual weather data 317 at the database 270 allowsweather-risk-products to be generated responsive thereto. In otherembodiments, the virtual weather data 317 may be submitted directly to acomputer, computer program product, or other module to generateweather-risk-products, such as weather risk-product generator 250.

According to certain exemplary embodiments of the invention, as can beshown with reference to FIG. 2, the weather risk-product generator 250generates weather-risk products 275 for the user-selected tractresponsive to the virtual weather data 274 and a plurality ofuser-selected weather-risk parameters, thereby allowing a user topurchase a customized weather-risk product based on customized virtualweather-data stations and customized contract terms. The weatherrisk-product generator 250 provides a weather-risk selection interface319 and a weather-risk confirmation interface 328 to be displayed to auser 285 at a display 284 of the tract-user computer 200. Theweather-risk selection interface 319 and the weather-risk confirmationinterface 328 incorporate the virtual weather data, for example, fromtable 274, which represents hypothetical user-customized weather datafor the tract.

The series of operations performed by the weather risk-product generator250 can be best shown by reference to the flow chart in FIG. 3a . Theuser 285 interacts with the weather-risk selection interface 319 and theweather-risk confirmation interface 328 to select weather-riskparameters 322 and then to confirm the performance of a proposedweather-risk-product based on the user-selected weather-risk parameters322. Weather-risk parameters 322 can include, but are not limited to, acontract amount, a contract name, a concern type, a risk type, a riskendurance range, and a risk tolerance range. Becauseweather-risk-products relate to a user-selected timeframe (i.e., therisk endurance range) and, the weather-risk selection interface 319 andweather-risk confirmation interface 328 allow the user 285 to confirmthe simulated or hypothetical past performance of a proposedweather-risk product with respect to the user-selected timeframe in pastyears, more particularly, with respect to historical virtual weatherdata for the user-selected timeframe in past years. In the event thatthe simulated or hypothetical past performance of the proposedweather-risk product is unsatisfactory to user, for example, theweather-risk confirmation interface 328 also allows the user tointeractively recall other interfaces, e.g., the geographic weather-dataselection interface 301 and the source selection interface 309, in orderto generate new virtual weather data and to select new user-selectedweather-risk parameters 322 with respect to the new virtual weatherdata.

In exemplary embodiments of the invention, the weather risk-productgenerator 250 can perform the operation of generating 318 theweather-risk selection interface 319 to display to the user 285 at adisplay 284 at the tract-user computer 200, and the weather risk-productgenerator 250 can also perform the operation of generating 327 theweather-risk confirmation interface 328 to display to the user 285 at adisplay 284 at the tract-user computer 200.

According to exemplary embodiments of the invention, as can be shown byreference to FIG. 6a , the weather-risk selection interface 319 isdisplayed as interface display 600. The weather-risk selection interface319, and interface display 600 in particular, allow the user 285 at thetract-user computer 200 to initiate the selection of the weather-riskparameters that will be used to model a proposed weather-risk product orgenerate a weather-risk product.

In an exemplary embodiment, the weather-risk selection interface display600 includes weather-risk parameter selection area 610 (weather-riskparameter selection area) 610, which includes, for example, a contractamount field 611 to allow the user 285 to select a user-selectedcontract amount, contract name field 612 to allow the user 285 to selecta user-selected contract name, and a concern-type field 613 to allow theuser 285 to select a user-selected concern type. Contract amount field611 and contract name field 612 are shown as text input boxes, but thosehaving skill in the art will appreciate that any other type of input orselection means can be implemented. Concern-type field 613 is shown asbeing a drop-down selection box pre-populated with standardized concerntypes, but those having skill in the art will appreciate that any othertype of input or selection means can be implemented. Standardizedconcern-types pre-populated in concern-type field 613 can include, forexample, “Cold”, “Heat”, “Precipitation.” Those having skill in the artwill appreciate the ability to pre-populate the concern-type field 613with other types of weather concerns, such as those relating toprecipitation, temperature, wind, barometric pressure, and so on.

Once a user-selected weather concern-type has been selected by the user285 at the weather-risk selection interface display 600, theweather-risk selection interface 319 can dynamically update theweather-risk parameter selection area 610 to include weather-risk-typefield 615, as can be shown in FIG. 6b , to allow the user to select auser-selected weather-risk-type. In one embodiment, updating theweather-risk parameter selection area 610 is performed using client-sidescripting techniques. Such client-side scripting techniques may include,for example, a trigger to update the weather-risk parameter selectionarea 610 responsive to the user 285 selecting confirmation button 614 ascan be shown in FIG. 6a , or responsive to the user 285 selecting auser-selected weather concern-type at the weather concern-type field613. Returning to FIG. 6b , weather-risk-type field 615 is shown asbeing a drop-down selection box pre-populated with standardized risktypes, but those having skill in the art will appreciate that any othertype of input or selection means can be implemented. Differentstandardized risk-types can be dynamically pre-populated inweather-risk-type field 615 responsive to different user-selectedweather concern-types at concern type field 613. In one embodiment, therelation between certain concern-types and certain risk-types isimplemented using client-side scripting techniques. Risk types forconcern type “Cold” can include, for example “Lowest Daily Temperaturein Period” and “Custom Degree-days” as can be shown with reference toweather-risk-type field 615 in FIG. 6b . Risk types for concern type“Heat” can include, for example “Highest Daily Temperature in Period”and “Custom Degree-days” as can be shown with reference toweather-risk-type field 615′ in FIG. 6f . Risk types for concern type“Precipitation” can include, for example “Highest Daily Precipitation inPeriod”, “Excessive Cumulative Precipitation”, and “InsufficientCumulative Precipitation” as can be shown with reference toweather-risk-type field 615″ in FIG. 6g . Those having skill in the artwill appreciate the ability to dynamically pre-populate the risk-typefield 615 with other types of weather-risks, such as those relating toprecipitation, temperature, wind, barometric pressure, and so on.

Once a user-selected weather-risk-type has been selected by a user 285at the weather-risk selection interface display 600, the weather-riskselection interface 319 can dynamically update the weather-riskparameter selection area 610 to include timeframe field 620, as can beshown in FIGS. 6c and 6d , to allow the user to select a user-selectedrisk endurance range including a user-selected start date and auser-selected end date. In one embodiment, updating the weather-riskparameter selection area 610 is performed using client-side scriptingtechniques. Such client-side scripting techniques may include, forexample, a trigger to update the weather-risk parameter selection area610 responsive to a user selecting a user-selected weather-risk-type atthe weather-risk-type field 615. As can be shown by comparing FIGS. 6cand 6d , weather-risk parameter selection area 610 can be updated in oneor more steps, such as a first step to include start calendar field 621and a second step to include end calendar field 622. Client-sidescripting techniques may include, for example, a trigger to update theweather-risk parameter selection area 610 responsive to a user selectinga user-selected start date at start calendar field 621. With referenceto FIG. 6d , timeframe area 620 is shown to include two calendar fieldsallowing a user to select a user-selected start date from start calendar621 and a user-selected end date from end calendar 622, from any dateappearing on the respective calendars. The respective calendars, forexample, can be adjustable for month and year. Those having skill in theart, however, will appreciate that any other type of input or selectionmeans can be implemented, such as a text input box for each of a startdate and an end date. The time period between and including theuser-selected start date and the user-selected end date defines theuser-selected risk endurance range. The risk endurance range therebydefines the time period in which the proposed risk product is effective.

Once a user-selected risk-endurance range has been selected by a user285 at the weather-risk selection interface display 600, theweather-risk selection interface 319 can dynamically update theweather-risk parameter selection area 610 to include risk tolerancefields 624 and 625, as can be shown in FIG. 6e , to allow the user toselect a user-selected risk tolerance range including a user-selecteddamage onset and a user-selected damage completion. In one embodiment,updating the weather-risk parameter selection area 610 is performedusing client-side scripting techniques. Such client-side scriptingtechniques may include, for example, a trigger responsive to a userselecting a submit button 623 as can be shown with reference to FIG. 6d, or responsive to a user selecting a user-selected start date and auser-selected end date at start calendar field 621 and end calendarfield 622, respectively, as can be shown with reference to FIG. 6d .Returning to FIG. 6e , risk tolerance fields 624 and 625 allow a user toselect a user-selected damage onset and a user-selected damagecompletion, respectively. The range between and including theuser-selected damage onset and the user-selected damage completiondefines a user-selected risk tolerance range. The risk tolerance rangethereby defines how the compensation under the proposed risk productrelates to weather-risk-related damage. Although the tolerance fields624 and 625 are shown to be implemented as text input boxes, thosehaving skill in the art will appreciate that any other type of input orselection means can be implemented, including, for example, a slidercontrol or other graphical range selection tools.

Once a user-selected risk endurance range has been selected by a user285 at the weather-risk selection interface display 600, theweather-risk selection interface 319 can dynamically update theweather-risk selection interface display 600 to include a customizedhistorical summary 630, as can be shown in FIG. 6e , for the virtualweather data 317 responsive to the user-selected weather-risk parameters322. In one embodiment, updating the weather-risk selection interfacedisplay 600 is performed using client-side scripting techniques. Suchclient-side scripting techniques may include, for example, a triggerresponsive to a user selecting a submit button 623 as can be shown withreference to FIG. 6d , or responsive to a user selecting a user-selectedstart date and a user-selected end date at start calendar field 621 andend calendar field 622, respectively, as can also be shown withreference to FIG. 6d . Returning to FIG. 6e , the customized historicalsummary 630 allows the user 285 viewing the weather-risk selectioninterface display 600 to view relevant excerpts from or summaries of thevirtual weather data 317 to inform the user's selection of auser-selected damage onset and a user-selected damage completion. Thecustomized historical summary 630 includes, for example, a minimum value631, an average value 632, and a maximum value 633 with respect to theuser-selected weather-risk-type. The values included in the customizedhistorical summary 630 can be determined responsive to virtual weatherdata during the user-selected risk endurance range in prior years, as isdescribed herein with respect to the step of determining 323timeframe-specific virtual weather data. The values in the customizedhistorical summary 630 can be determined, for example, using well-knownmathematical or statistical operations over the timeframe-specificvirtual weather data, including, for example, minimizing, averaging, ormaximizing values from a plurality of weather readings in thetimeframe-specific virtual weather data. By viewing relevant excerptsfrom or summaries of the virtual weather data 317 in the customizedhistorical summary 630 before selecting a user-selected damage onset anda user-selected damage completion, the user 285 is better able toascertain the accuracy of the virtual weather data with respect to theuser's own knowledge of the actual weather history for the tract. If theuser lacks an understanding of the actual weather history for the tract,the customized historical summary 630 beneficially provides the userwith a preliminary understanding of the virtual weather data for thetract. In both cases, the customized historical summary 630 allows theuser to better select a user-selected damage onset and a user-selecteddamage completion with respect to the virtual weather data 317 andthereby tailor the user-selected damage onset and the user-selecteddamage completion to best fit the virtual weather data 317. For example,if the customized historical summary 630 shows a maximum value 623 belowthe user's expected value for the damage onset 624, the user will knowthat the virtual weather data 317, as then provided, does not accordwith the user's understanding of the weather for the tract. Accordingly,the user could revisit either the geographic weather-data selectioninterface display 100 or the source selection interface 500 to allow newvirtual weather data 317 to be generated with respect to differentuser-selections (e.g., different geographic coordinate parameters,different user-selected weather-station identifiers, or differentuser-selected weather-station weights).

As can be shown with reference to FIGS. 6h and 6i , each of theforegoing features of the timeframe field 620 and the customizedhistorical summary 630 can also be provided, for example, for auser-selected weather risk that is “custom degree-days”, respectively,for a user-selected weather concern of “cold” or for a user-selectedweather concern of “heat.” For a user-selected weather risk that is“custom degree-days,” the user-selected damage onset 624 and theuser-selected risk completion 625 are expressed in numbers of days,which is understood to be the number of days in the user-selected riskendurance range during which the weather readings for the virtualweather-data station satisfies a user-selected temperature criteria. Theuser-selected temperature criteria includes, for example, auser-selected threshold temperature 641, a user-selected weatherobservation 642 (e.g., minimum temperature, average temperature, ormaximum temperature), and a user-selected risk concern 643 (e.g.,excessive degree-days or insufficient degree-days). Those having skillin the art will appreciate that the present invention—despite beingdescribed herein with respect to embodiments reflecting specific weatherconcerns, specific weather risk types, or specific weather riskcriteria—is equally applicable to other types of weather concerns,weather risk types, or weather risk criteria, including any combinationof one or more weather concerns, risk types, or risk criteria. Forexample, there may be a plurality of user-selected weather concerns, aplurality of user-selected weather risks for one or more ofuser-selected weather concerns, and a plurality of user-selected weatherrisk criteria for one or more user-selected weather risks.

Once the user 285 has selected the plurality of user-selectedweather-risk parameters 322, or as the case may be, at least auser-selected weather concern type, a user-selected weather-risk type, auser-selected weather-risk endurance range, and optionally auser-selected weather-risk tolerance range, such parameters can betransmitted to, and received by, the weather risk-product generator 250.One or more of the plurality of weather-risk parameters 322 can bereceived from the weather-risk selection interface 319, for example,responsive to the user 285 making an affirmative selection using aninput device at the tract-user computer 200. Such an affirmativeselection can include, for example, the user 285 making a mouse click,for example, on submit button 623 as can be shown with reference to FIG.6d , or by selecting a user-selected start date and a user-selected enddate at start calendar field 621 and end calendar field 622,respectively, as can also be shown with reference to FIG. 6d . When theweather-risk parameters 322 are received by the weather risk-productgenerator 250, the weather risk-product generator 250 can perform theoperation of determining 323 timeframe-specific virtual weather data 324responsive to one or more of the user-selected weather-risk parameters323 received from the weather-risk selection interface 319.

In an exemplary embodiment of the invention as can be shown withreference to FIG. 3a , the weather risk-product generator 250 performsan operation of determining 323 a timeframe-specific virtual weatherdata 324, which represents the weather readings within the virtualweather data 317 occurring within the dates of the user-selected riskendurance range for all available prior years (i.e., prior years havingrecords in the virtual weather data 274). The timeframe-specific virtualweather data 324 is determined responsive to the user selectedweather-risk parameters 323 and the virtual weather data 317. The stepof determining 323 the timeframe-specific virtual weather data 324 caninclude, for example, a database query to select any or all of thevirtual weather data 317 that corresponds to the user selectedweather-risk parameters 323. In an exemplary embodiment, any of theweather readings in the virtual weather data 317 that match theuser-selected risk type and the user-selected risk endurance range areselected and define the timeframe-specific virtual weather data 324. Insuch an embodiment, only the months and dates of the user-selected riskendurance range are used, thereby allowing the selection of virtualweather data 317 from all years of record prior to the year of the riskendurance range. The selected weather readings that comprise thetimeframe-specific virtual weather data 324 can be loaded into memorylocally accessible by the weather risk-product generator 250 so thatthey may be readily accessed by the weather risk-product generator 250.Alternatively, for example, the selected weather readings can be loadedinto memory at the database 270 so that the selected weather readingsmay be accessed directly by the database management software in database270, for example, when requested by other computer programs or softwaremodules. Any of the timeframe-specific virtual weather data 324 can beidentified in the memory locally accessible to the weather risk-productgenerator 250 or in the database 270 using corresponding theuser-selected risk type and any date within the user-selected riskendurance range.

Further, in an exemplary embodiment of the invention as can also beshown with reference to FIG. 3a , the weather risk-product generator 250performs an operation of determining 325 a plurality of customizedcontract terms 326, which represents the terms of a proposed riskproduct to be generated. Customized contract terms can include, forexample, at least a contract price, a contract premium, and a payoutscale. The plurality of customized contract terms 326 is determinedresponsive to the user selected weather-risk parameters 323 and thetimeframe-specific virtual weather data 324. The step of determining 325the plurality of customized contract terms 326 can include, for example,referencing weather-risk actuarial data 276 with respect to theuser-selected contract amount, the user-selected weather-risk-type, theuser-selected risk endurance range, the user-selected risk tolerancerange, and each of the corresponding weather readings within thetimeframe-specific virtual weather data 324. In certain embodiments,however, referencing weather-risk actuarial data 276 may include otherweather readings not included in the timeframe-specific virtual weatherdata 324, but included in the virtual weather data 317 (for example,weather readings observed in the same season as the user-selected riskendurance range, but outside the dates of the user-selected riskendurance range. The customized contract terms 326 can be loaded intomemory locally accessible by the weather risk-product generator 250 sothat they may be readily accessed by the weather risk-product generator.Alternatively, for example, the customized contract terms 326 can beloaded into memory at the database 270 so that the customized contractterms 326 may be accessed directly by the database management softwarein database 270, for example, when requested by other computer programsor software modules. Any of the customized contract terms 326 can beidentified in the memory locally accessible to the weather risk-productgenerator 250 or in the database 270 using a corresponding identifierfor the individual customized contract term, such as the contract price,the contract premium, and the payout scale.

According to exemplary embodiments of the invention, as can be shown byreference to FIG. 7a , the weather-risk confirmation interface 328 isdisplayed as interface display 700. The weather-risk confirmationinterface 328, and interface display 700 in particular, allow the user285 at the tract-user computer 200 to initiate the selection of theweather-risk parameters that will be used to model a proposedweather-risk product or generate a weather-risk product, for example, ifpurchased by the user 285.

In an exemplary embodiment, the weather-risk confirmation interfacedisplay 700 includes weather-risk parameter confirmation area 710 toallow a user 285 at the tract-user computer 200 to confirm theuser-selected weather-risk parameters 322, which will define theperformance characteristics of the weather-risk-product. Theweather-risk parameter confirmation area 710 can include, for example, adisplay of the user-selected weather parameters 323 such as the startdate 711, the end date 712, the damage onset 713, and the damagecompletion 714, all of which were previously selected by the user 285through the weather-risk selection interface 319. If, for example, theuser cannot confirm the user-selected weather-risk parameters and theweather-risk parameters in the weather-risk parameter confirmation area710 were entered incorrectly, the user can dynamically recall theweather-risk selection interface display 600 using modify button 701 orreset button 702.

In certain embodiments, the weather-risk confirmation interface display700 also includes contract term confirmation area 720 to allow the user285 at the tract-user computer 200 to confirm the customized contractterms 326, which will further define the performance characteristics ofthe weather-risk-product. The contract term confirmation area 720 caninclude, for example, a display of any of the customized contract terms326 such as the contract price 721 and the contract premium 722.

Also, according to exemplary embodiments of the invention, as can beshown by reference to FIGS. 7b and 7c , the weather-risk confirmationinterface 328 can further display pop-up displays 730 and 740, whichinclude a historical weather chart 739 and a contract performance chart749, respectively. Pop-up displays 730 and 740 can be dynamicallydisplayed and the user 285 is able to interactively alternate betweeneach of the historical weather chart 739, the contract performance chart749, and the weather-risk confirmation interface display 700, forexample, using client-side scripting techniques. Such client-sidescripting techniques may include, for example, a trigger to display thepop-up displays 730 or 740 responsive to the user 285 selectinghistorical weather chart button 723 or a contract performance button 724at the contract term confirmation area 720 as can be shown in FIG. 7a .Those having skill in the art will appreciate that the historicalweather chart 739 and the contract performance chart 749 can also beincluded in the weather-risk confirmation interface display 700, whereasthe weather-risk parameter confirmation area 710, the contract termconfirmation area 720, and the historical weather chart 739 or contractperformance chart 749 can be displayed on a single screen; and such anembodiment is within the scope of this disclosure. In addition, bothmodify button 701 and reset button 702 are provided to dynamicallyrecall the weather-risk selection interface display 600 so that newcustomized contract terms 326 or new timeframe-specific virtual weatherdata 324 to can be defined, for example, if the user is dissatisfiedwith any of the customized contract terms 326 or the timeframe-specificvirtual weather data 324 reflected in the contract term confirmationarea 720, historical weather chart 730, or contract performance chart740. As will be appreciated by those having skill in the art, variouscommercial software modules and application programming interfaces areavailable to enable the generation of charts, such as the historicalweather chart 739 and the contract performance chart 749 with respect tothe timeframe-specific virtual weather data 324, the customized contractterms 326, and the user-selected weather-risk parameters 322. Forexample, certain embodiments of the invention can be provided usingChartdirector.net by Advanced Software Engineering of Hong Kong orASP.NET reporting tools by Telerik of Sofia, Bulgaria.

With reference to FIGS. 7b and 7c , the historical weather chart 739 isshown included in pop-up display 730 and the contract performance chart749 is shown included in pop-up display 740, according to certainembodiments of the invention. Both the historical weather chart 739 andthe contract performance chart 749 allow the user 285 to visualize,through the display 284, the hypothetical past performance of a proposedweather-risk product, in prior years, with respect to the user-selectedweather-risk parameters 322. In further detail, both of the historicalweather chart 739 and the contract performance chart 749 beneficiallyallow the user 285 to confirm the consistency between hypothetical pastcompensation from the proposed weather-risk-product and any actualweather-related damage or economic harm experienced at the tract inprior years, thereby enhancing the information available to the userwith respect to the suitability of the proposed risk product. Forexample, the user 285 can visualize, through the historical weatherchart 739 at the display 284, how the timeframe-specific weather data324 intersects with the user-selected risk tolerance range. Also, forexample, the user 285 can visualize, through the contract performancechart 749 at the display 284, the compensation value for thetimeframe-specific weather data 324 within the user-selected risktolerance range.

As can be shown with reference to FIG. 7b , historical weather chart 739can be a line plot chart having an x-axis representing an independentvariable and a y-axis representing a dependent variable. In thehistorical weather chart 739, as is shown in FIG. 7b , the user-selectedconcern-type is the dependent variable and the observation year (for allprior available years) is the independent variable. The historicalweather chart 730 includes a line plot 734 representing weather readingsin the timeframe-specific virtual weather data 324, which correspond tothe user-selected concern-type as it varies for each observation. Alsoincluded the historical weather chart 739, as can further be shown withreference to FIG. 7b , are a 0% payout line 735, which represents theuser-selected damage onset parameter corresponding to the user-selectedconcern type, and a 100% payout line 736, which represents theuser-selected damage completion parameter corresponding to theuser-selected concern type.

The interaction between the line plot 734, 0% payout line, and 100%payout line on the historical weather chart 739 allows the user 285 tovisualize how the timeframe-specific weather data 324 intersects withthe user-selected risk tolerance range, and thereby better understandthe hypothetical effectiveness of the proposed weather-risk product withrespect to prior years. For example, the user 285 is able to readilydetermine from the historical weather chart 739, that a proposedweather-risk product (assuming its hypothetical applicability to prioryears) would have covered weather-related damage occurring at timepoints 737 a-f. To determine whether hypothetical performance of theweather-risk product would have been favorable in prior years, the user285 could research and compare to his own accounting records for thetract at times 737 a-f to determine whether the tract suffered economicharm at those times. The user 285 could also examine the position ofpoints 737 a-f along the y-axis—specifically with respect to therelative distance between the 0% line 735 and the 100% line 736 toascertain the relative magnitude of hypothetical compensation anddetermine whether such is consistent with the degree of economic harmsuffered at times 737 a-f. Accordingly, the user can be better isinformed in making a purchasing decision with respect to the proposedrisk product, or alternatively the user 285 can forego the purchasingdecision in the event that sufficient consistency is lacking. In thelatter circumstance, the user can return to the weather-riskconfirmation interface display 700 using the return button 731 or recallthe weather-risk selection interface display 600 using the modify button701 or the reset button 702.

As can be shown with reference to FIG. 7c , contract performance chart749 is a line plot chart having an x-axis representing an independentvariable and a y-axis representing a dependent variable. In the contractperformance chart 749, as is shown in FIG. 7c , the contract payoutvalue 743 is the dependent variable and the observation year 742 (forall prior available years) is the independent variable. The contractperformance chart 749 includes a line plot 744 representing the payoutvalue 743 for the weather readings of the user-selected concern-type asit varies for each observation. The line plot 744 allows the user 285 tovisualize the compensation value, on an absolute basis, for thetimeframe-specific weather data 324 and thereby better understand thehypothetical effectiveness of the proposed weather-risk-product withrespect to prior years. For example, the user 285 is able to readilydetermine from the contract performance chart 749 that, according to thecustomized contract terms and the user-selected weather-risk parameters,the weather-risk product would have payout values corresponding topoints 745 a-f during the prior years. To determine whether hypotheticalperformance of the weather-risk product would have been favorable inprior years, the user 285 could research and compare accounting recordsfor the tract at times 745 a-f to determine the absolute amount ofeconomic harm suffered at the tract at those times and whether such isconsistent with the amount of hypothetical compensation. Accordingly,the user 285 can be better informed in making a purchasing decision withrespect to the proposed risk product, or alternatively the user 285 canforego the purchasing decision in the event that sufficient consistencyis lacking. In the latter circumstance, the user can return to theweather-risk confirmation interface display 700 using the return button741 or recall the weather-risk selection interface display 600 using themodify button 701 or the reset button 702.

Returning to the flowchart in FIG. 3a , it can be shown that once theuser has confirmed the user-selected weather-risk parameters 322, thetimeframe specific virtual weather data 324, and the customized contractparameters 326 at the weather-risk confirmation interface display 700,and in certain embodiments, the hypothetical performance of a proposedweather-risk-product with respect thereto at the pop-up displays 730 and740, a weather-risk product 333 can be generated 332 responsive to theuser-selected weather-risk parameters 322 and the customized contractparameters 326. In further detail, the user can command the weather-riskconfirmation interface 328 to transmit 330 a user confirmation message331 to the weather risk-product generator 250, which is then received bythe weather risk-product generator 250. As is described above, the userconfirmation message 331 may include a command to return to theweather-risk selection interface display 600 for an opportunity tore-select any of the user-selected weather-risk parameters 322 and thecustomized contract parameters 326. Also, the user confirmation message331 may include a command to re-generate 300 the geographic weather-dataselection interface 301 or re-generate 308 the source selectioninterface 309, at which point the user would be returned to thegeographic weather-data selection interface display 100 or the sourceselection interface display 500, respectively, and re-perform the stepsas is shown in FIG. 3a and as is described herein. Further, as can beseen with reference to FIG. 3a , the user confirmation message 331 mayinclude a command to generate 332 the weather-risk product 333, forexample, so that the weather-risk product 333 can be purchased by theuser 285. The confirmation message 331 can be received from theweather-risk confirmation interface 328, for example, responsive to theuser 285 making an affirmative selection using an input device at thetract-user computer 200. Such an affirmative selection can include, forexample, the user 285 making a mouse click, for example, on reset button602 as can be shown with reference to FIG. 6d , reset button 702 as canbe shown with reference to FIG. 7a , or purchase button 703 as can beshown with reference to FIGS. 7a, 7b, and 7c . When the confirmationmessage 331 is received by the weather risk-product generator 250, theweather risk-product generator 250 can perform the operation ofgenerating 332 the weather-risk product 333 responsive to theuser-selected weather-risk parameters 322 and the customized contractparameters 326.

Advantageously, various embodiments of the present invention can provideone or more customized weather-risk products for one or more tracts.Various embodiments of the present invention can provide risk-productsto mitigate against potential financial exposure due the occurrence of aweather-risk event as is defined according to an individual weather-riskproduct according to the user-selected weather-risk parameters. In anexemplary embodiment of the invention as can be shown with reference toFIG. 3a , the weather risk-product generator 250 performs an operationof generating 332 the weather-risk product 333 so that the weather-riskproduct 333 can be purchased by the user 285 and so that the weatherrisk product, in the event that circumstances occur triggering theweather-risk product's performance during the user-selected riskendurance range (“weather-risk event”), can be identified and processedfor settlement according to the customized contract terms 326. Theweather risk product 333 can be generated responsive to theuser-selected weather-risk parameters 322 and the customized contractparameters 326 and be stored as a record in the database 270, forexample as weather-risk product risk parameters and weather-risk productcontract parameters. In certain embodiments, weather-risk products canbe generated and stored at the weather-risk product administrativedatabase 1240, or perhaps, at a specialized weather-risk productinventory database (not pictured), which can be part of the weather-riskproduct administrative database 1240.

As can be shown with reference to the timeframe t₀ (“prior to and duringgeneration of weather-risk product”) in FIG. 3c , the weather riskproduct 380, being a record stored in the weather-risk productadministrative database 1240, for example, can be structured so as toinclude data for the virtual weather-data-station parameters 370,weather-risk product risk parameters 371, and the weather-risk productcontract parameters 372, which are unique to the user-customized weatherrisk product 380. The foregoing data can be written to the weather riskproduct 380 responsive to executed instructions within computer programproduct, for example, computer program products 930, 940, 950. Theweather risk product 380 can also include data linking the weather-riskproduct to a unique weather-risk product identifier, for example, toallow the weather-risk product 380 to be associated with a user accountand to facilitate the weather-risk product being processed forsettlement.

As can be shown with reference to FIG. 15b , weather risk productsstored at the weather-risk product administrative database 1240, forexample, can be listed at a weather-risk product inventory interfacedisplay 1520, which can be generated by the risk-product issuer computer910, for example, and displayed on a display at the user computer 200.Three different weather-risk products are listed at the weather-riskproduct inventory interface display 1520, as can be identified by uniqueweather-risk product identifiers at location 1521 on the weather-riskproduct inventory interface display. As can be shown with reference tothe column entitled “Contract”, or more particularly, at processingstatus 1525, each of the weather-risk products listed can specify aprocessing status showing, for example, whether particular weather-riskproducts have been paid for by the purchasing user or whether there aresettlements pending. Processing status 1525 can be a button, forexample, allowing a user to enter payment or view settlementinformation. In addition to having a unique weather-risk productidentifier 1523, each weather-risk product can also include a “friendlyname,” such as name 1524, so that the weather-risk product can bereadily identifiable or recognizable to a user. As can be shown withreference to the location 1522, any data included in a weather riskproduct, such as the virtual weather-data-station parameters 370,weather-risk product risk parameters 371, and the weather-risk productcontract parameters 372, can also be listed at the weather-risk productinventory interface display 1520. As will be appreciated by those havingskill in the art, the foregoing description of the weather-risk productdata displayed as a table of the weather-risk product inventoryinterface display 1520 is further descriptive of exemplary datastructure for weather-risk products, such as weather risk product 380,being stored in a table at the weather-risk product administrativedatabase 1240.

Processing status button 1525, when selected by a user at the userinterface 200, can trigger the dynamic generation of a weather-riskproduct payment interface, for example, by the weather-risk productissuer computer 910, to displayed a weather-risk product paymentinterface display 1530 on a display of a user computer 200, as can beshown with reference to FIG. 15c . Weather-risk product paymentinterface display 1530 can include, for example, reference to theweather-risk product risk parameters 371, and the weather-risk productcontract parameters 372 for a particular weather-risk product 380, ascan be shown with reference to area 1531 of the weather-risk productpayment interface display 1530 and identified, for example, by theweather-risk product identifier 1533. Weather-risk product paymentinterface display 1530 can also include, for example, reference to thevirtual weather-data-station parameters 370 for the particularweather-risk product 380, as can be shown, for example, with referenceto area 1532 of the weather-risk product payment interface display 1530.Also, as can be shown with reference to area 1531 of the weather-riskproduct payment interface display 1530, various payment options areavailable to the user, including electronic check, wire transfer, papercheck, and a standing credit agreement. Various techniques known tothose having skill in the art allow the risk-issuer computer 910 togenerate a payment execution interface (not shown) to be displayed atthe user computer 200 to allow the user at the user computer to executepayment via electronic check or wire transfer. Information regardingstanding credit agreement can be stored and verified, for example, atthe weather-risk product administrative database 1240. A user cantransmit verification that a paper check has been manually submitted tothe risk-product issuing entity, for example by selecting manual-paymentconfirmation button 1535 at the weather-risk product payment interfacedisplay 1530.

The weather risk product 380 can further include data linking theweather-risk product to an account 383, such as a user account for thetract user or a financial account for receiving premium payments andpaying settlement payments by a user's financial institution 286, as canbe shown with reference to FIG. 3c . Weather-risk products 333 beingstored, for example, at the weather-risk product administrative database1240 can be associated with a user account also stored at theweather-risk product administrative database 1240, for example, based onaccount authorization and authentication information (e.g., a useraccount identifier and a user account password) entered by the user atthe user computer 200 and transmitted to the risk-product issuercomputer 910, for example, and stored in the session database 1260during the generation of the weather-risk product 333. Exemplary accountauthorization information 1501 and account authentication information1502 (which can be masked for privacy at the user computer 200) can beentered by the user at the user computer 200 as can be shown withreference to user account login interface display 1500 as can be shownwith reference to FIG. 15a . Exemplary account authorization information1501 and account authentication information 1502 can be transmitted tothe risk-product issuer computer 910, for example, upon selection by theuser of the log-in button 1503, for example, using a cursor.

A settlement process can be programmatically performed, for example,pursuant to instructions by weather-risk product settlement processorprogram product 960, for example, instructions 1090-1091 stored in thememory 911 of the risk-product issuer computer 910, as can be shown withreference to FIGS. 9-10. Weather-risk product settlement processorprogram product 960 can include, for example, instructions 1090-1091,which, when executed by the processor 920, perform the operation ofcomparing 1090, at regular intervals, settlement data 279 to one or moreweather-risk products stored in the database 270. The steps of comparingsettlement data 279 to a particular weather-risk product, as can beshown with respect to the timeframe t_(1 . . . N) (“repeated during therisk endurance range”) FIG. 3c , include, for example, the step ofgenerating 1090A risk-product virtual settlement-weather data 381 fromthe settlement data 279 pursuant to the virtual weather-data-stationparameters 370. And when the virtual settlement-weather data 381satisfies criteria set forth by the weather-risk product risk parameters371 and the weather-risk product contract parameters 372, a weather-riskevent has occurred for that particular weather-risk product, andsettlement 382 can be issued 1091 to the user account 383 responsive tothe weather-risk product risk parameters 371 and the weather-riskproduct contract parameters 372. In certain embodiments having the useraccount 383 as a financial account at a financial institution 286,settlement 282′ can be systematically issued directly to the financialinstitution 286, for example, according to electronic payment techniquesknown to those having skill in the art.

As can be shown with reference to FIG. 15e , processing status button1551, when selected by a user at the user interface 200, can trigger thedynamic generation of a weather-risk product settlement interface, forexample, by the weather-risk product issuer computer 910, to bedisplayed as a weather-risk product settlement interface display 1560 ona display of a user computer 200, as can be shown with reference to FIG.15e . Weather-risk product settlement interface display 1560 caninclude, for example, reference to the weather-risk product riskparameters and the weather-risk product contract parameters for aparticular weather-risk product, as can be shown with reference to area1561 of the weather-risk product settlement interface display 1560 andidentified, for example, by the weather-risk product identifier 1569.Weather-risk product settlement interface display 1560 can also include,for example, weather-risk product virtual settlement-weather data forthe particular weather-risk product, as can be shown, for example, withreference to settlement weather chart 1570 of the weather-risk productsettlement interface display 1560. Settlement weather chart 1570 can bea line plot chart having an x-axis 1572 representing an independentvariable and a y-axis 1573 representing a dependent variable. In thesettlement weather chart 1570, as is illustrated in FIG. 15e , theuser-selected concern-type from the particular weather-risk product isthe dependent variable and the observation date, within theuser-selected risk endurance range for the particular weather-riskproduct, is the independent variable. The settlement weather chart 1570includes a line plot 1571 representing weather readings in the virtualsettlement-weather data, which correspond to the user-selectedconcern-type as it varies for each observation date.

Settlement weather chart 1570 shows the virtual settlement-weather dataover the all or part of the user-selected risk endurance range. The lineplot 1571 allows the user 285 to visualize the weather observations ofthe virtual settlement-weather data within the user-selected riskendurance range, and thereby better understand the actual effectivenessof a purchased weather-risk product, in particular, as to whether anyweather observations within the virtual settlement-weather data triggersa settlement under the purchased weather-risk product. For example, theuser 285 is able to readily determine from the settlement weather chart1570 that, according to the customized contract terms and theuser-selected weather-risk parameters, which are displayed in area 1561,whether the weather observations of the virtual settlement-weather dataexceeded the user-selected damage onset, which is displayed to the useras “trigger observation” 1566.

Settlement weather chart 1570, which is described according to oneparticular embodiment herein, can also be implemented and displayed asis described with respect to the contract performance chart 749, exceptpertaining to the virtual settlement-weather data 381 instead of thetimeframe-specific weather data 324. For example, such an implementationwould allow the user 285 to visualize the compensation value, on anabsolute basis, for the virtual settlement-weather data 381 and therebybetter understand the actual effectiveness of the purchasedweather-risk-product. Likewise, a settlement weather chart can beimplemented and displayed as is described with respect to the historicalweather chart 739, except pertaining to the virtual settlement-weatherdata 381 instead of the timeframe-specific weather data 324. Such animplementation, for example, would allow the user 285 to visualize howthe virtual settlement-weather data intersects with the user-selectedrisk tolerance range, and thereby better understand the actual ongoingor final effectiveness of the purchased weather-risk product.

Although various embodiments of the present invention have beendescribed mostly in terms of land tracts, the weather-risk productapproach under various embodiments of the present invention is scalableand beneficially can be used to create weather-risk products applicablefor any type of tract usage, including, for example, maritime oil andgas drilling or production operations.

It is also important to note that while embodiments of the presentinvention have been described in the context of a fully functionalsystem, those skilled in the art will appreciate that the mechanism ofat least portions of the present invention or aspects thereof arecapable of being distributed in the form of a computer readable programproduct stored in a tangible computer medium and a computer readablemedium of instructions in a variety of forms for execution on aprocessor, processors, or the like, and that the present inventionapplies equally regardless of the particular type of signal bearingmedia used to actually carry out the distribution. Note, the computerreadable program product can be in the form of microcode, programs,routines, and symbolic languages that provide a specific set or sets ofordered operations that control the functioning of the hardware anddirect its operation, as known and understood by those skilled in theart. Examples of computer readable media include but are not limited to:nonvolatile hard-coded type media such as read only memories (ROMs),CD-ROMs, and DVD-ROMs, or erasable, electrically programmable read onlymemories (EEPROMs), recordable type media such as floppy disks, harddisk drives, CD-R/RWs, DVD-RAMs, DVD-R/RWs, DVD+R/RWs, flash drives,memory sticks, HD-DVDs, mini disks, laser disks, Blu-ray disks, andother newer types of memories, and transmission type media such asdigital and analog communication links. Also note that any of thecomputers or servers, such as computers 810, 830, 840, 850, 910, forexample, described herein can be implemented not only as discretecomputers or servers, but also as virtual computers or servers runningon one or more machines implementing a virtualization scheme and havingone or more non-transitory memory, input-output unit, and processor, aswill be known to those having skill in the art. Furthermore, thenon-transitory memory, input-output unit, or processor of the computersor servers described herein will be understood by those having skill inthe art as not being limited to discrete apparatuses, for example, in avirtualization scheme; and two or more of the non-transitory memories,input-output units, or processors of the computers or servers describedherein may be implemented by a one or more non-transitory memory,input-output unit, or processor, respectively.

The present application is a continuation of and claims priority to andbenefit of U.S. patent application Ser. No. 14/055,329, titled “Systems,Computer Implemented Methods, Geographic Weather-Data SelectionInterface Display, and Computer Readable Medium Having Program Productsto Generate User-Customized Virtual Weather Data and User-CustomizedWeather-Risk Products Responsive Thereto, and filed Oct. 16, 2013, whichis a continuation of U.S. patent application Ser. No. 13/540,436, titled“Systems, Computer Implemented Methods, Geographic Weather-DataSelection Interface Display, and Computer Readable Medium Having ProgramProducts to Generate User-Customized Virtual Weather Data andUser-Customized Weather-Risk Products Responsive Thereto” and filed Jul.2, 2011, now U.S. Pat. No. 8,607,154, issued Dec. 10, 2013, which is anon-provisional application that relates to, claims priority to, andclaims the benefit of U.S. Provisional Application Ser. No. 61/505,457,titled “Systems, Computer Implemented Methods, and Computer ReadableProgram Products to Generate User-Customized Virtual Weather Data andUser-Customized Weather-Risk Products Responsive Thereto” and filed onJul. 7, 2011, each of which is incorporated herein by reference in itsentirety.

Moreover, the foregoing has broadly outlined certain objectives,features, and technical advantages of embodiments of the presentinvention and a detailed description of embodiments of the invention sothat embodiments of the invention may be better understood in light offeatures and advantages of the invention as described herein, which formthe subject of certain claims of the invention. It should be appreciatedthat the conception and specific embodiment disclosed may be readilyutilized as a basis for modifying or designing other structures forcarrying out the same purposes of the present invention. It should alsobe realized that such equivalent constructions do not depart from theinvention as set forth in the appended claims. The novel features whichare believed to be characteristic of the invention, both as to itsorganization and method of operation, together with further objects andadvantages is better understood from the following description whenconsidered in connection with the accompanying figures. It is to beexpressly understood, however, that such description and figures areprovided for the purpose of illustration and description only and arenot intended as a definition of the limits of the present invention. Itwill be apparent to those skilled in the art that various modificationsand changes can be made within the spirit and scope of the invention asdescribed in the foregoing specification.

That claimed is:
 1. A computer server to generate customized weatherrisk product for a selected geographic location, the computer serverbeing positioned in communication with one or more weather-riskactuarial databases having weather-risk actuarial data associatedtherewith and one or more weather station databases havingweather-station location data and weather-station historical data foreach of a plurality of weather stations associated therewith, thecomputer server comprising: one or more processors; non-transitorymemory positioned in communication with the one or more processors tostore one or more computer programs therein; one or more input/outputunits in communication with the one or more processors and thenon-transitory memory to receive inputs thereto and to transmit outputstherefrom, the one or more input/output units being adapted to be incommunication with the one or more weather-risk actuarial databases andthe one or more weather station databases; computer program, defining avirtual weather-data generator, stored in the non-transitory memory andoperable on the one or more processors, the virtual weather-datagenerator having a set of instructions that, when executed by the one ormore processors, cause the one or more processors to perform thefollowing operations: generating virtual weather data responsive to aplurality of station-specific weather histories, each weather history ofthe plurality of station-specific weather histories being weighted bythe user-selected weather-station weights for the respectiveweather-station and the corresponding weather readings for therespective weather-station; and computer program, defining aweather-risk-product generator, stored in the non-transitory memory andoperable on the one or more processors, the weather-risk-productgenerator having a set of instructions that, when executed by the one ormore processors, cause the one or more processors to perform thefollowing operations: generating a weather-risk selection interface todisplay on one or more displays of one or more remote computer devices,thereby to allow for the selection of a plurality of user-selectedweather-risk parameters, determining the timeframe-specific virtualweather data responsive to the virtual weather data and one or more of aplurality of user selected weather-risk parameters, determining aplurality of customized contract terms responsive to the user selectedweather-risk parameters and timeframe-specific virtual weather data, andgenerating a weather-risk confirmation interface to display to the userat the one or more remote computer devices, responsive to the pluralityof user-selected weather-risk parameters, timeframe-specific virtualweather data, and the plurality of customized contract terms a weatherrisk product.
 2. A computer server to generate customized weather riskproduct for a selected geographic location, the computer server beingpositioned in communication with one or more weather-risk actuarialdatabases having weather-risk actuarial data associated therewith andone or more weather station databases having weather-station locationdata and weather-station historical data for each of a plurality ofweather stations associated therewith, the computer server comprising:one or more processors; non-transitory memory positioned incommunication with the one or more processors to store one or morecomputer programs therein; one or more input/output units incommunication with the one or more processors and the non-transitorymemory to receive inputs thereto and to transmit outputs therefrom, theone or more input/output units being adapted to be in communication withthe one or more weather-risk actuarial databases and the one or moreweather station databases; computer program, defining a virtualweather-data-station-designer, stored in the non-transitory memory andoperable on the one or more processors, the virtual weather-data-stationdesigner having a set of instructions that, when executed by the one ormore processors, cause the one or more processors to perform thefollowing operations: generating a geographic weather-data selectioninterface to display on the one or more displays of the one or moreremote computers so that the geographic weather-data selection interfaceincludes a geographic map image corresponding to geographic coordinatesand a plurality of weather-station markers overlaid on the geographicmap image, each of the plurality of weather-station markerscorresponding to a geographic location of an existing actual weatherstation, and determining a plurality of weather-station identifiersresponsive to receipt of the plurality of geographic parameters receivedfrom the geographic weather-data selection interface; computer program,defining a virtual weather-data generator, stored in the non-transitorymemory and operable on the one or more processors, the virtualweather-data generator having a set of instructions that, when executedby the one or more processors, cause the one or more processors toperform the following operations: generating virtual weather dataresponsive to a plurality of station-specific weather histories, eachweather history of the plurality of station-specific weather historiesbeing weighted by the user-selected weather-station weights for therespective weather-station and the corresponding weather readings forthe respective weather-station; computer program, defining aweather-risk-product generator, stored in the non-transitory memory andoperable on the one or more processors, the weather-risk-productgenerator having a set of instructions that, when executed by the one ormore processors, cause the one or more processors to perform thefollowing operations: generating a weather-risk selection interface todisplay on the one or more displays of the one or more remote computerdevices, thereby to allow for the selection of a plurality ofuser-selected weather-risk parameters, determining thetimeframe-specific virtual weather data responsive to the virtualweather data and one or more of the plurality of user selectedweather-risk parameters, determining a plurality of customized contractterms responsive to the user selected weather-risk parameters and thetimeframe-specific virtual weather data, and generating a weather-riskconfirmation interface to display to the user at the one or more remotecomputers, responsive to the plurality of user-selected weather-riskparameters, timeframe-specific virtual weather data, and plurality ofcustomized contract terms a weather risk product.
 3. A computer serverto generate customized weather risk product for a selected geographiclocation, the computer server being positioned in communication with oneor more weather-risk actuarial databases having weather-risk actuarialdata associated therewith and one or more weather station databaseshaving weather-station location data and weather-station historical datafor each of a plurality of weather stations associated therewith, thecomputer server comprising: one or more processors; non-transitorymemory positioned in communication with the one or more processors tostore one or more computer programs therein; one or more input/outputunits in communication with the one or more processors and thenon-transitory memory to receive inputs thereto and to transmit outputstherefrom, the one or more input/output units being adapted to be incommunication with the one or more weather-risk actuarial databases andthe one or more weather station databases and to transmit through acommunications network to one or more graphical user interfaces of oneor more displays associated with one or more remote computer devices andreceive therefrom one or more user selections responsive thereto;computer program, defining a virtual weather-data-station-designer,stored in the non-transitory memory and operable on the one or moreprocessors, the virtual weather-data-station designer having a set ofinstructions that, when executed by the one or more processors, causethe one or more processors to perform the following operations:generating a geographic weather-data selection interface to display onthe one or more displays of the one or more remote computers so that thegeographic weather-data selection interface includes a geographic mapimage corresponding to geographic coordinates and a plurality ofweather-station markers overlaid on the geographic map image, each ofthe plurality of weather-station markers corresponding to a geographiclocation of an existing actual weather station, the geographicweather-data selection interface configured to allow a user associatedwith the geographic weather-data selection interface to select aplurality of geographic parameters for the relevant geographic locationon the geographic map image at one or more locations corresponding toone or more unique positions on the geographic map image, anddetermining a plurality of weather-station identifiers responsive toreceipt of the plurality of geographic parameters received from thegeographic weather-data selection interface, each of the plurality ofweather station identifiers corresponding to the weather-stationlocation data having a weather-station location adjacent theuser-selected map area; computer program, defining a virtualweather-data generator, stored in the non-transitory memory and operableon the one or more processors, the virtual weather-data generator havinga set of instructions that, when executed by the one or more processors,cause the one or more processors to perform the following operations:generating virtual weather data responsive to a plurality ofstation-specific weather histories, each weather history of theplurality of station-specific weather histories being weighted by theuser-selected weather-station weights for the respective weather-stationand the corresponding weather readings for the respectiveweather-station; computer program, defining a weather-risk-productgenerator, stored in the non-transitory memory and operable on the oneor more processors, the weather-risk-product generator having a set ofinstructions that, when executed by the one or more processors, causethe one or more processors to perform the following operations:generating a weather-risk selection interface to display on the one ormore displays of the one or more remote computer devices, thereby toallow for the selection of a plurality of user-selected weather-riskparameters, the weather-risk selection interface including a customizedhistorical weather summary responsive to the virtual weather data duringthe user-selected risk endurance range, determining thetimeframe-specific virtual weather data responsive to the virtualweather data and one or more of the plurality of user selectedweather-risk parameters, determining a plurality of customized contractterms responsive to the user selected weather-risk parameters and thetimeframe-specific virtual weather data, and generating a weather-riskconfirmation interface to display to the user at the one or more remotecomputers, responsive to the plurality of user-selected weather-riskparameters, timeframe-specific virtual weather data, and plurality ofcustomized contract terms a weather risk product.